Find Your Perfect Job

Job Search Results for machine learning

Sort and Filter  | 149 Results for machine learning  | Save This Search

Feb 10, 2026

Redmond, WA

|

Mechanical Engineering

|

Contract

|

$54 - $68 (hourly estimate)

{"JobID":493356,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-122.12,"Longitude":47.68,"Distance":null},"State":"Washington","Zip":"98052","ReferenceID":"SEA-13f761a5-1d33-4faf-9143-ec843953211b","PostedDate":"\/Date(1770766805000)\/","Description":"? Engineer and deploy deep learning models, specifically utilizing Convolutional Neural Networks (CNNs) and Segment Anything Models (SAM), to automate the classification and grading of display image quality and defects.? Design and implement automated pipelines for large-scale dataset from existing testers, preparation, and analysis to validate image scoring algorithms against real-world hardware performance.? Develop signal processing and computer vision algorithms to perform object detection and segmentation on display outputs, converting subjective visual criteria into objective engineering metrics.? Design and simulate optical systems involving geometric optics, wave optics, and Fourier optics, ensuring alignment between theoretical models and hardware implementationWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"COPY - Optical Engineer","City":"Redmond","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Ph.D. or Master?s degree in Electrical Engineering, Electro-Optics, Computer Science, or a related field.? Proficiency in programming and software development using Python/PyTorch and MATLAB for algorithm implementation and hardware control.? Hands-on project experience in Computer Vision and Deep Learning, with specific expertise in image segmentation, object detection, and classification using architectures like CNNs and SAM.? Experience in building and validating predictive models using large-scale datasets for image analysis tasks.? Strong fundamental knowledge of optics, including Fourier analysis and digital filters, applied to imaging and display systems.? Good communication skills to work in a cross functional setting.","Skills":"We are seeking an Optical Engineer with a strong background in Computer Vision and Machine Learning to join our Reality Labs team as a contractor worker. Optical Engineer. As a key member of our team, you will bridge the gap between algorithm development and hardware innovation to engineer robust solutions for automated display assessment.","Industry":"Mechanical Engineering","Country":"US","Division":"AF\u0026E","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":68.0000,"SalaryLow":54.4000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

? Engineer and deploy deep learning models, specifically utilizing Convolutional Neural Networks (CNNs) and Segment Anything Models (SAM), to automate the classification and grading of display image... quality and defects.? Design and implement automated pipelines for large-scale dataset from existing testers, preparation, and analysis to validate image scoring algorithms against real-world hardware performance.? Develop signal processing and computer vision algorithms to perform object detection and segmentation on display outputs, converting subjective visual criteria into objective engineering metrics.? Design and simulate optical systems involving geometric optics, wave optics, and Fourier optics, ensuring alignment between theoretical models and hardware implementationWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Aug 26, 2025

Seattle, WA

|

Administrative Assistant

|

Contract,Perm Possible

|

$28 - $35 (hourly estimate)

{"JobID":437889,"JobType":["Contract,Perm Possible"],"EmployerID":null,"Location":{"Latitude":-122.34,"Longitude":47.61,"Distance":null},"State":"Washington","Zip":"98121","ReferenceID":"SEA-bf1adda0-f1bd-4b46-961f-e30e2a76e012","PostedDate":"\/Date(1756249772000)\/","Description":"The Data and Analytics team is a fast-moving organization focused on building and delivering world class, innovative technologies as part of Utility Computing. We are on the forefront of machine learning and AI innovations.Daily Schedule: ? Provide complex calendar support for two L8+ managers? Assist in meeting planning such as scheduling Chime meetings and printing documents? Plan and organize team events, offsites, and virtual events? Order catering, reserve conference roomsBook travel and process expense reportsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Executive Assistant III","City":"Seattle","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Required Skills ? 6+ years Complex Calendar Management? 6+ years Communication ? written and verbal, organizational? 6+ years Coordinating Travel? Arranging Meetings? Processing Expenses? Thriving in Ambiguity","Skills":"","Industry":"Administrative Assistant","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":35.0000,"SalaryLow":28.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

The Data and Analytics team is a fast-moving organization focused on building and delivering world class, innovative technologies as part of Utility Computing. We are on the forefront of machine... learning and AI innovations.Daily Schedule: ? Provide complex calendar support for two L8+ managers? Assist in meeting planning such as scheduling Chime meetings and printing documents? Plan and organize team events, offsites, and virtual events? Order catering, reserve conference roomsBook travel and process expense reportsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Feb 25, 2026

Buffalo Grove, IL

|

Programmer / Developer

|

Contract-to-perm

|

$48 - $60 (hourly estimate)

{"JobID":499268,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-87.96,"Longitude":42.16,"Distance":null},"State":"Illinois","Zip":"60089","ReferenceID":"CHI-5e200534-fe0b-4eb9-863e-ac68979367d6","PostedDate":"\/Date(1772029310000)\/","Description":"?Architect and develop cloud-native pricing applications with AI-driven optimization?Design and implement FHIR-compliant APIs and integration services?Lead the development of machine learning models for pricing optimization and prediction?Establish technical standards and best practices for the development team?Mentor junior engineers and provide technical guidance?Collaborate with product management to define technical roadmaps?Ensure performance, scalability, and security of pricing applications?Drive innovation in healthcare pricing through applied AI technologies?Participate in architectural reviews and technical decision-makingWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. Development Engineer","City":"Buffalo Grove","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?8+ years\u0027 experience in software development?6+ years\u0027 experience with Java enterprise application development?4+ years\u0027 experience with Python development?3+ years\u0027 experience with AI/ML technologies and frameworks?3+ years\u0027 experience with healthcare data standards, particularly FHIR?3+ years\u0027 experience with cloud platforms (GCP preferred)?Strong understanding of healthcare pricing models and methodologies?Experience with RESTful API design and implementation?Experience with microservices architecture?Experience with data modeling and database design?Bachelor?s degree in computer science, Software Engineering, or related field","Skills":"?Experience with healthcare payment systems and claims processing?Experience with natural language processing for healthcare documentation?Contributions to FHIR standards or implementation guides?Experience with containerization and orchestration (Docker, Kubernetes)?Experience with real-time data processing and analytics?Published research or patents in healthcare technology","Industry":"Programmer / Developer","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":60.0000,"SalaryLow":48.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

?Architect and develop cloud-native pricing applications with AI-driven optimization?Design and implement FHIR-compliant APIs and integration services?Lead the development of machine learning models... for pricing optimization and prediction?Establish technical standards and best practices for the development team?Mentor junior engineers and provide technical guidance?Collaborate with product management to define technical roadmaps?Ensure performance, scalability, and security of pricing applications?Drive innovation in healthcare pricing through applied AI technologies?Participate in architectural reviews and technical decision-makingWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 29, 2026

Fort Lauderdale, FL

|

Software Engineering

|

Perm

|

$150k - $180k (estimate)

{"JobID":524712,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-80.13,"Longitude":26.14,"Distance":null},"State":"Florida","Zip":"33301","ReferenceID":"TPA-29592dda-adc5-4c1a-83ad-4dce354d5728","PostedDate":"\/Date(1777489895000)\/","Description":"A client of Insight Global is seeking a Senior Python Back End Engineer responsible for designing, building, and maintaining reliable, scalable back-end systems for cloud-based web applications. In this role, this individual will design and maintain APIs and back-end services that support application workflows, data processing, and machine learning model inference. This individual will work across Python services, databases, cloud infrastructure, CI/CD, and containerized environments to deliver secure, maintainable, and production-ready systems.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. Python Back End Engineer (Systems Lead)","City":"Fort Lauderdale","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?5+ years of experience as a Software Engineer, with strong back-end development experience in production environments?Strong experience with Python?Strong experience designing and building APIs from scratch?Strong experience with AWS cloud services, including CloudWatch, Lambda, DynamoDB, API Gateway, S3, SES, SQS, SNS, and RDS?Strong understanding of cloud-native back-end architectures, including serverless and containerized patterns?Solid knowledge of database technologies (DynamoDB, PostgreSQL, SQL) and database schema design / development?Strong experience designing JSON schemas and service contracts?Strong experience with CI/CD, containers, and deployment workflows","Skills":"? MLOps experience? ETL pipeline experience? Experience in a technical lead or systems lead capacity","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":180000.0000,"SalaryLow":150000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

A client of Insight Global is seeking a Senior Python Back End Engineer responsible for designing, building, and maintaining reliable, scalable back-end systems for cloud-based web applications. In... this role, this individual will design and maintain APIs and back-end services that support application workflows, data processing, and machine learning model inference. This individual will work across Python services, databases, cloud infrastructure, CI/CD, and containerized environments to deliver secure, maintainable, and production-ready systems.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

May 04, 2026

Ashburn, VA

|

Computer Engineering

|

Perm

|

$160k - $200k (estimate)

{"JobID":525961,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-77.48,"Longitude":39.04,"Distance":null},"State":"Virginia","Zip":"20147","ReferenceID":"DC0-2bc07d95-09b5-4bb3-9a88-9a1dbbdad971","PostedDate":"\/Date(1777902020000)\/","Description":"Lead initiatives in Agentic AI, Generative AI, and advanced Data ScienceDrive innovation in advanced analytics with federal datasets and enterprise AI solutionsDesign and deploy Generative AI systems for autonomous decision-making and workflow efficiencyDesign and build agentic agents to enhance and supplement SaaS-based workflowsBuild and deploy scalable data pipelinesApply advanced statistical methods and machine learning techniques for data assessmentArchitect and support build of AI-driven retrieval-augmented generation (RAG), prompt engineering, and knowledge graph projectsCollaborate to produce AI-powered dashboards and insightsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Lead Agentic AI \u0026 Data Scientist","City":"Ashburn","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Bachelor?s degree in Computer Science, Information Systems, Engineering, Mathematics, or related discipline6+ years of experience in AI and data analyticsProficient in R, Python, and AI/ML frameworks (i.e., TensorFlow, PyTorch)Practical experience with Generative AI models (including LLMs) and Agentic AI frameworks (e.g., LangChain, CrewAI)Experience building autonomous agents that use LLMs to perceive, decide, and act independentlyExperience with APIs to platforms like Twilio, Google Cloud, etc.Proficient in SQL and relational databases (e.g., Oracle, PostgreSQL, MySQL)Experience with RAG pipelines, vector databases, and knowledge graphsSkilled in visualization tools and interactive dashboardsHands-on experience leveraging cloud services (e.g., S3, EC2, RDS, Lambda) to design and implement data processing, storage, and analytics solutionsHands-on experience with DockerStrong communication skills to interact with technical teams and government stakeholders","Skills":"Masters degreeExperience integrating AI solutions with SaaS/PaaS platforms (e.g., ServiceNow, Salesforce, etc.)Experience with analytics tools (e.g., Power BI, Tableau, Qlik)Experience with Google GeminiKnowledge of federal data governance standards and compliance frameworks","Industry":"Computer Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":200000.0000,"SalaryLow":160000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Lead initiatives in Agentic AI, Generative AI, and advanced Data ScienceDrive innovation in advanced analytics with federal datasets and enterprise AI solutionsDesign and deploy Generative AI systems... for autonomous decision-making and workflow efficiencyDesign and build agentic agents to enhance and supplement SaaS-based workflowsBuild and deploy scalable data pipelinesApply advanced statistical methods and machine learning techniques for data assessmentArchitect and support build of AI-driven retrieval-augmented generation (RAG), prompt engineering, and knowledge graph projectsCollaborate to produce AI-powered dashboards and insightsWe are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Mar 18, 2026

Pittsburgh, PA

|

Programmer / Developer

|

Perm

|

$40k - $41k (estimate)

{"JobID":508149,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-79.97,"Longitude":40.43,"Distance":null},"State":"Pennsylvania","Zip":"15219","ReferenceID":"PIT-3500de46-6d94-4079-8039-d142a1ce9d5f","PostedDate":"\/Date(1773853974000)\/","Description":"As a Senior DevSecOps \u0026 MLOps Engineer, you will lead the design, automation, and governance of secure CI/CD and ML pipelines to enable reliable, scalable, and compliant software and AI delivery. You will partner closely with application development, data science, infrastructure, and security teams to build resilient runtime platforms, standardize deployment workflows, and embed security and observability across the full software and machine learning lifecycle.This role blends DevSecOps, platform engineering, and MLOps, with a strong emphasis on automation, security, and operational excellence.Key ResponsibilitiesDevSecOps \u0026 Platform EngineeringArchitect, implement, and maintain secure, scalable CI/CD pipelines for application and AI workloads.Define and enforce best practices for source control, release management, infrastructure-as-code, and information security.Analyze code repositories for security vulnerabilities and compliance issues, driving remediation strategies.Deploy, operate, and optimize containerized platforms using Docker and Kubernetes.Build and maintain secure, resilient runtime environments across SaaS, IaaS, and PaaS platforms.Collaborate with platform leads and third-party vendors to assess, test, and deploy upgrades and patches.Resolve complex environmental and deployment issues in partnership with external technical account managers.Automate infrastructure provisioning and configuration using Terraform, Ansible, and Azure Resource Manager (ARM).Plan and execute production deployments with minimal downtime using proven release strategies.MLOps \u0026 AI DeploymentSupport the full machine learning lifecycle, including model training, validation, deployment, monitoring, and retirement.Build and maintain ML pipelines with tools such as MLflow, Kubeflow, or equivalent frameworks.Manage model versioning, lifecycle management, and artifact traceability.Deploy ML models as production-grade APIs using REST or gRPC.Implement model serving solutions using FastAPI, TorchServe, KFServing, or similar frameworks.Design and operate batch and real-time inference pipelines.Implement canary and blue-green deployment strategies for ML models.Standardize AI deployment workflows by building reusable pipeline templates and enabling self-service for development and data science teams.Observability, Reliability \u0026 SecurityImplement observability for applications and AI systems, including logging, monitoring, and alerting.Monitor model performance, accuracy, and drift (data drift and concept drift).Enable AI observability by logging model inputs and outputs for traceability and auditability.Design and integrate feedback loops to continuously improve model performance.Secure ML pipelines and model endpoints, including authentication, authorization, and secrets management.Ensure proper handling of PII and sensitive data in AI workflows.Promote Responsible AI practices, including governance, auditability, and risk mitigation.Maintain awareness of prompt injection risks and security concerns for LLM-based systems.Collaboration \u0026 Ways of WorkingChampion secure development and operational best practices across engineering and data teams.Act as a trusted partner and advisor for DevSecOps, MLOps, and platform engineering initiatives.Actively participate in agile ceremonies, peer reviews, and knowledge-sharing activities.Produce and maintain high-quality documentation, including architecture diagrams, specifications, runbooks, and procedures.Provide responsive triage and resolution for issues across development, staging, and production environments.Foster open, professional communication across all levels of the organization.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Sr. MLOps Engineer - INTL India","City":"Pittsburgh","ExpirationDate":null,"PriorityOrder":0,"Requirements":"10+ years of experience in DevSecOps, Platform Engineering, MLOps, or equivalent senior software engineering roles.Strong experience with CI/CD tooling (Git, Bitbucket, Jenkins).Expertise in Docker and Kubernetes and cloud-native architectures.Proficiency in Python, Bash, or PowerShell scripting.Hands-on experience with AWS, Azure, or Google Cloud Platform.Experience with Infrastructure as Code (Terraform, ARM) and configuration management (Ansible, Puppet, or Chef).Familiarity with code quality and security tools such as Veracode and SonarQube.Solid understanding of Linux, networking, and storage concepts (block, object, file).Knowledge of CNCF ecosystem tools, autoscaling strategies, and cloud observability.Working knowledge of SQL fundamentals and messaging systems (Kafka, RabbitMQ).Experience implementing monitoring and logging solutions for distributed systems.Bachelor?s degree in Computer Science, Information Technology, or a related field.","Skills":"Master?s degree in a related technical field.Experience with Jira, Confluence, or similar work and knowledge management tools.Deployment experience with ERP, CRM, WMS, or eCommerce platforms.Experience supporting LLM-based systems in production environments.","Industry":"Programmer / Developer","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":41000.0000,"SalaryLow":40000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

As a Senior DevSecOps & MLOps Engineer, you will lead the design, automation, and governance of secure CI/CD and ML pipelines to enable reliable, scalable, and compliant software and AI delivery. You... will partner closely with application development, data science, infrastructure, and security teams to build resilient runtime platforms, standardize deployment workflows, and embed security and observability across the full software and machine learning lifecycle.This role blends DevSecOps, platform engineering, and MLOps, with a strong emphasis on automation, security, and operational excellence.Key ResponsibilitiesDevSecOps & Platform EngineeringArchitect, implement, and maintain secure, scalable CI/CD pipelines for application and AI workloads.Define and enforce best practices for source control, release management, infrastructure-as-code, and information security.Analyze code repositories for security vulnerabilities and compliance issues, driving remediation strategies.Deploy, operate, and optimize containerized platforms using Docker and Kubernetes.Build and maintain secure, resilient runtime environments across SaaS, IaaS, and PaaS platforms.Collaborate with platform leads and third-party vendors to assess, test, and deploy upgrades and patches.Resolve complex environmental and deployment issues in partnership with external technical account managers.Automate infrastructure provisioning and configuration using Terraform, Ansible, and Azure Resource Manager (ARM).Plan and execute production deployments with minimal downtime using proven release strategies.MLOps & AI DeploymentSupport the full machine learning lifecycle, including model training, validation, deployment, monitoring, and retirement.Build and maintain ML pipelines with tools such as MLflow, Kubeflow, or equivalent frameworks.Manage model versioning, lifecycle management, and artifact traceability.Deploy ML models as production-grade APIs using REST or gRPC.Implement model serving solutions using FastAPI, TorchServe, KFServing, or similar frameworks.Design and operate batch and real-time inference pipelines.Implement canary and blue-green deployment strategies for ML models.Standardize AI deployment workflows by building reusable pipeline templates and enabling self-service for development and data science teams.Observability, Reliability & SecurityImplement observability for applications and AI systems, including logging, monitoring, and alerting.Monitor model performance, accuracy, and drift (data drift and concept drift).Enable AI observability by logging model inputs and outputs for traceability and auditability.Design and integrate feedback loops to continuously improve model performance.Secure ML pipelines and model endpoints, including authentication, authorization, and secrets management.Ensure proper handling of PII and sensitive data in AI workflows.Promote Responsible AI practices, including governance, auditability, and risk mitigation.Maintain awareness of prompt injection risks and security concerns for LLM-based systems.Collaboration & Ways of WorkingChampion secure development and operational best practices across engineering and data teams.Act as a trusted partner and advisor for DevSecOps, MLOps, and platform engineering initiatives.Actively participate in agile ceremonies, peer reviews, and knowledge-sharing activities.Produce and maintain high-quality documentation, including architecture diagrams, specifications, runbooks, and procedures.Provide responsive triage and resolution for issues across development, staging, and production environments.Foster open, professional communication across all levels of the organization.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Nov 15, 2023

Denver, CO

|

Data Warehousing

|

Contract-to-perm

|

$65 - $81 (hourly estimate)

{"JobID":323178,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-104.845454545455,"Longitude":39.7658181818182,"Distance":null},"State":"Colorado","Zip":"80202","ReferenceID":"MSP-002fcabe-2a51-443a-82d9-18c882fb638a","PostedDate":"\/Date(1700064984000)\/","Description":"Insight Global is seeking a Sr. Databricks Administrator to join the Unified Data Platform team at one of our largest Utility Clients. This individual will be the key participant and contributor to the Databricks center of Excellence for Data Platform tools. The Databricks Administrator will be responsible for providing technical expertise in deploying applications on AWS Databricks platform. As a Databricks Administrator, you will be responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization. You will collaborate with data engineers, data scientists, and other stakeholders to ensure the platform meets their requirements while maintaining security and performance standards.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC \"Know Your Rights\" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .","Title":"Databricks Engineer","City":"Denver","ExpirationDate":null,"PriorityOrder":0,"Requirements":"-5+ years of experience within the IT industry -Understanding Databricks administration within an AWS infrastructure -Proficiency in the AWS cloud platform-Experience with Terraform-Experience with GitLab-Experience with Python or and/or Spark in Databricks-Bachelor\u0027s degree in a relevant field (computer science, data engineering, etc.)","Skills":"-Experience within Data Analytics -Enterprise experience -Experience in Utility/energy industry","Industry":"Data Warehousing","Country":"US","Division":"Government","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":81.2500,"SalaryLow":65.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a Sr. Databricks Administrator to join the Unified Data Platform team at one of our largest Utility Clients. This individual will be the key participant and contributor to... the Databricks center of Excellence for Data Platform tools. The Databricks Administrator will be responsible for providing technical expertise in deploying applications on AWS Databricks platform. As a Databricks Administrator, you will be responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization. You will collaborate with data engineers, data scientists, and other stakeholders to ensure the platform meets their requirements while maintaining security and performance standards.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Apr 20, 2026

Indianapolis, IN

|

Security Engineering

|

Contract-to-perm

|

$64 - $80 (hourly estimate)

{"JobID":520851,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-86.14,"Longitude":39.77,"Distance":null},"State":"Indiana","Zip":"46268","ReferenceID":"IND-8b49c494-06ae-4ab3-823b-a334342f6a91","PostedDate":"\/Date(1776712646000)\/","Description":"Insight Global is seeking a Machine Learning Reliability Engineer for a large enterprise client modernizing and scaling its ML/AI platform. This role focuses on ensuring ML systems are reliable, observable, and cost-efficient at scale. The engineer will define SLOs, build robust Datadog monitoring, standardize incident response, and partner closely with FinOps and governance teams. This is a highly visible role critical to production ML success?ideal for an SRE who understands ML workloads and wants to own reliability, observability, and operational excellence across enterprise AI systems.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"MLops Engineer","City":"Indianapolis","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Strong background in Site Reliability Engineering (SRE) principles?Hands-on Datadog experience (dashboards, metrics, logs, traces, alerting)?Experience supporting ML/AI systems in production?Ability to define and enforce SLOs / SLIs for distributed systems?Monitoring of availability, latency, accuracy, drift, and pipeline health?Experience operating in cloud environments (Azure strongly preferred)?Proven skills in performance tuning and cost optimization?Incident response ownership (alerts, runbooks, escalation paths)","Skills":"?ML-specific observability (model performance, drift, LLM monitoring)?AI / LLM observability experience?Snowflake and modern data platform monitoring?FinOps partnership experience?ServiceNow integration (incident \u0026 change management)?Enterprise audit, governance, and compliance exposure","Industry":"Security Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":80.0000,"SalaryLow":64.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking a Machine Learning Reliability Engineer for a large enterprise client modernizing and scaling its ML/AI platform. This role focuses on ensuring ML systems are reliable,... observable, and cost-efficient at scale. The engineer will define SLOs, build robust Datadog monitoring, standardize incident response, and partner closely with FinOps and governance teams. This is a highly visible role critical to production ML success?ideal for an SRE who understands ML workloads and wants to own reliability, observability, and operational excellence across enterprise AI systems.We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Apr 09, 2026

Palo Alto, CA

|

Software Engineering

|

Perm

|

$207k - $258k (estimate)

{"JobID":517184,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-122.18,"Longitude":37.37,"Distance":null},"State":"California","Zip":"94304","ReferenceID":"SJC-9b160865-6879-4b01-96a6-1d7109888baf","PostedDate":"\/Date(1775761148000)\/","Description":"Insight Global is seeking an entrepreneurial, hands-on senior individual contributor to build and scale Applied AI Solutions for an automotive customer in the electric vehicle space. As a Staff AI Engineer, you will design, build, and operate production-grade systems at the forefront of generative AI, partnering with leaders across the company to unlock transformative business value. You will set technical direction, own complex domains, and raise the engineering bar through architectural leadership, operational excellence, and pragmatic innovation with language models and machine learning. You will work closely with Operations (Manufacturing, Supply Chain, Procurement, Quality), Product, Sales, Customer Service, Finance, HR, and other internal partners to align technical solutions to measurable enterprise outcomes.ResponsibilitiesLead the technical design and hands-on development of prioritized AI applications, services, and platforms leveraging state-of-the-art LLM app stacks, retrieval-augmented generation, evaluation frameworks, and scalable serving.Define long-term architecture and engineering standards for Applied AI systems to maximize reuse, reliability, and impact across multiple product areas.Partner with business sponsors to translate high-value opportunities into roadmaps and shipped products with clear success metrics and measurable outcomes.Build a holistic view of AI investments by collaborating with adjacent engineering groups implementing AI in their domains, aligning patterns, reusing components, and avoiding duplication.Drive continuous improvement in AI methodologies and best practices; evaluate emerging capabilities and land them as secure, production-grade systems.Collaborate with Legal, Compliance, Risk, Audit, and Security to embed robust governance, privacy, security, safety, and reporting practices across the AI lifecycle.Champion AI literacy, enablement, and adoption through demos, guidance, and technical leadership across the org.Mentor engineers across levels; lead design reviews; improve code quality, reliability, observability, and cost/performance of AI workloads.Establish rigorous evaluation, guardrails, and monitoring practices; instrument offline and online metrics to ensure quality, safety, and SLOs.Optimize latency, throughput, and cost at scale; guide make/buy decisions and vendor integrations where appropriate.Salary ranges based on experience: $206,500.00 - $258,100.00We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Staff Applied AI Engineer","City":"Palo Alto","ExpirationDate":null,"PriorityOrder":0,"Requirements":"QualificationsBS/MS/PhD in Computer Science or a related field, or equivalent experience.8-10+ years of experience in software engineering, with a proven track record delivering complex, production-ready systems in enterprise environments.Deep technical knowledge in AI/ML, with hands-on experience building and deploying solutions using language models, retrieval/grounding, embeddings/vector search, and evaluation.Demonstrated ability to translate ambiguous business problems into robust AI products with measurable business impact.Experience defining and evolving architectures, standards, and platforms that create leverage across multiple teams.Strong familiarity with security, privacy, compliance, safety, and auditability for enterprise AI systems.Excellence in communication and stakeholder management; able to influence and align across diverse teams.Proven curiosity and mental agility to learn and apply new technologies through hands-on development and continuous learning.","Skills":"","Industry":"Software Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":258100.0000,"SalaryLow":206500.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is seeking an entrepreneurial, hands-on senior individual contributor to build and scale Applied AI Solutions for an automotive customer in the electric vehicle space. As a Staff AI... Engineer, you will design, build, and operate production-grade systems at the forefront of generative AI, partnering with leaders across the company to unlock transformative business value. You will set technical direction, own complex domains, and raise the engineering bar through architectural leadership, operational excellence, and pragmatic innovation with language models and machine learning. You will work closely with Operations (Manufacturing, Supply Chain, Procurement, Quality), Product, Sales, Customer Service, Finance, HR, and other internal partners to align technical solutions to measurable enterprise outcomes.ResponsibilitiesLead the technical design and hands-on development of prioritized AI applications, services, and platforms leveraging state-of-the-art LLM app stacks, retrieval-augmented generation, evaluation frameworks, and scalable serving.Define long-term architecture and engineering standards for Applied AI systems to maximize reuse, reliability, and impact across multiple product areas.Partner with business sponsors to translate high-value opportunities into roadmaps and shipped products with clear success metrics and measurable outcomes.Build a holistic view of AI investments by collaborating with adjacent engineering groups implementing AI in their domains, aligning patterns, reusing components, and avoiding duplication.Drive continuous improvement in AI methodologies and best practices; evaluate emerging capabilities and land them as secure, production-grade systems.Collaborate with Legal, Compliance, Risk, Audit, and Security to embed robust governance, privacy, security, safety, and reporting practices across the AI lifecycle.Champion AI literacy, enablement, and adoption through demos, guidance, and technical leadership across the org.Mentor engineers across levels; lead design reviews; improve code quality, reliability, observability, and cost/performance of AI workloads.Establish rigorous evaluation, guardrails, and monitoring practices; instrument offline and online metrics to ensure quality, safety, and SLOs.Optimize latency, throughput, and cost at scale; guide make/buy decisions and vendor integrations where appropriate.Salary ranges based on experience: $206,500.00 - $258,100.00We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Sep 30, 2025

Santa Clara, CA

|

Computer Engineering

|

Perm

|

$180k - $220k (estimate)

{"JobID":450207,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-121.96,"Longitude":37.39,"Distance":null},"State":"California","Zip":"95054","ReferenceID":"SJC-22918456-7fe3-4a05-873c-ae8e4548a3ac","PostedDate":"\/Date(1759253880000)\/","Description":"Insight Global is looking for a Sr. Data Engineer (DevOps) to work 4 days on-site in Santa Clara, CA for a fast-growing technology company specializing in secure networking solutions?including SD-WAN, SASE, and SSE?that is helping global enterprises modernize their IT infrastructure for the cloud era. Led by industry veterans and backed by top-tier investors, the company is focused on innovation, scalability, and preparing for a future IPO.The Data DevOps Engineer will join the Machine Learning and AI team to build and maintain scalable data infrastructure supporting intelligent systems and analytics. This role involves close collaboration with DevOps, Data Science, and Software Engineering teams.? Design, build, and maintain robust data pipelines for ML/AI products.? Integrate infrastructure automation and deployment workflows with DevOps teams.? Implement new features and optimize data flow in collaboration with Data Scientists and Engineers.? Enhance monitoring, logging, and debugging capabilities across data systems.Ensure scalability, reliability, and performance of data infrastructure.Salary Range - $180,000 - $220,000We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global\u0027s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.","Title":"Data Engineer (DevOps)","City":"Santa Clara","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 8+ years of experience in Data Engineering, DevOps, or related fields.? Experience setting up and managing multitenant Apache Spark and Kafka clusters.? Strong experience in Kubernetes? Strong programming skills in Python? Expertise in processing, cleaning, managing, and analyzing large-scale datasets.? Familiarity with database technologies and the ability to choose between NoSQL, SQL, and cloud-based solutions based on use case.? Ability to manage multiple projects simultaneously and collaborate effectively in a team environment.Strong problem-solving and communication skills.","Skills":"? Proficiency with infrastructure automation tools such as Jenkins, Ansible, Terraform, or similar.","Industry":"Computer Engineering","Country":"US","Division":"IT","Office":null,"IsRemoteJob":false,"IsInternalJob":false,"ExtraValues":null,"__RecordIndex":0,"__OrdinalPosition":0,"__Timestamp":0,"Status":null,"ApplicantCount":0,"SubmittalCount":0,"ApplicationToHireRatio":0,"JobDuration":null,"SalaryHigh":220000.0000,"SalaryLow":180000.0000,"PayRateOvertime":0,"PayRateStraight":0,"Filled":0,"RemainingOpenings":0,"TotalOpenings":0,"Visa":null,"ClearanceType":null,"IsClearanceRequired":false,"IsHealthcare":false,"IsRemote":false,"EndClient":null,"JobCreatedDate":"\/Date(-62135578800000)\/","JobModifiedDate":"\/Date(-62135578800000)\/"}

Insight Global is looking for a Sr. Data Engineer (DevOps) to work 4 days on-site in Santa Clara, CA for a fast-growing technology company specializing in secure networking solutions?including... SD-WAN, SASE, and SSE?that is helping global enterprises modernize their IT infrastructure for the cloud era. Led by industry veterans and backed by top-tier investors, the company is focused on innovation, scalability, and preparing for a future IPO.The Data DevOps Engineer will join the Machine Learning and AI team to build and maintain scalable data infrastructure supporting intelligent systems and analytics. This role involves close collaboration with DevOps, Data Science, and Software Engineering teams.? Design, build, and maintain robust data pipelines for ML/AI products.? Integrate infrastructure automation and deployment workflows with DevOps teams.? Implement new features and optimize data flow in collaboration with Data Scientists and Engineers.? Enhance monitoring, logging, and debugging capabilities across data systems.Ensure scalability, reliability, and performance of data infrastructure.Salary Range - $180,000 - $220,000We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

61 - 70 of 149