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Apr 28, 2026

North York, ON

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Computer Engineering

|

Contract

|

$36 - $45 (hourly estimate)

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We are seeking a Lead AI & Machine Learning Engineer to provide technical leadership across two critical capability areas: Computer Vision & Edge ML and Generative AI / Agentic Systems. This role is... responsible for setting technical direction, ensuring delivery excellence, and managing engineers building production-grade AI systems?from edge-optimized vision models to scalable, agent-driven GenAI platforms on Google Cloud. The Lead will remain hands-on with architecture and complex problem solving while mentoring engineers, aligning execution with business priorities, and advancing shared AI platforms and standards.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/.

Mar 25, 2026

Suffolk, VA

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Software Engineering

|

Contract-to-perm

|

$42 - $53 (hourly estimate)

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The goal is to speed up exercise planning and updates, enable more dynamic scenarios (including AI-driven OPFOR behaviors), and improve after-action insights across the broader joint training ecosystem.Essential Job Responsibilities:? Design, develop, and maintain software systems that integrate foundational and frontier AI models into joint training environments.? Implement scalable data pipelines to ingest and process real-time and near-real-time data from operational and test \u0026 evaluation sources.? Support integration of AI capabilities into Joint Training Tools and simulation environments, including Fully Informed Simulation Environment (FISE).? Collaborate with cross-functional teams, including government stakeholders and partner organizations, to align AI integration with modernization efforts and mission objectives.? Develop and optimize systems that enable rapid training updates, dynamic scenario generation, and adaptive threat simulation (AI-driven OPFOR behaviors).? Contribute to planning, execution, and after-action review (AAR) processes by developing tools that enhance data capture, analysis, and visualization.? Ensure interoperability across multiple combatant commands and services within a unified training environment.? Apply software engineering best practices, including version control, automated testing, and CI/CD pipelines.? Support system performance tuning, scalability, and reliability in high-demand training scenarios.? Document system architectures, interfaces, and operational procedures.Compensation:$45/hr to $50hr.Exact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable laws..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":"Software Engineer II (AI)","City":"Suffolk","ExpirationDate":null,"PriorityOrder":0,"Requirements":"? 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 9 years relevant experience.? Proficiency in one or more programming languages (Python, Java, cplusplus).? Experience with distributed systems, APIs, and microservices architectures.? Familiarity with data engineering concepts, including data ingestion, transformation, and storage.? Basic understanding of artificial intelligence and machine learning concepts.? Experience working in Linux-based development environments.","Skills":"? Experience integrating or deploying AI/ML models, including large-scale or foundation models.? Familiarity with modern AI frameworks.? Experience with real-time data streaming technologies (Kafka).? Knowledge of Department of Defense (DoD) training environments, including JTSE, JLVC, or related systems.? Experience supporting joint or multi-domain operations and training exercises.? Understanding of data architecture principles and enterprise data integration.? Experience with simulation systems or synthetic training environments.? Familiarity with DevSecOps practices and secure software development in classified environments.? Prior experience supporting large-scale exercises, planning systems, or after-action review tools.","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":52.8800,"SalaryLow":42.3040,"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 Software Engineer II to support a federal client in Suffolk, VA. This team is building software that brings AI into joint training and wargaming workflows, so users can... ask for things like scenario details, definitions, or planning help and get usable outputs back in the training tools. They?re wiring up data pipelines that feed real-time and near-real-time training and test data into those AI capabilities, then integrating the results into Joint Training Tools and the Fully Informed Simulation Environment (FISE). The goal is to speed up exercise planning and updates, enable more dynamic scenarios (including AI-driven OPFOR behaviors), and improve after-action insights across the broader joint training ecosystem.Essential Job Responsibilities:? Design, develop, and maintain software systems that integrate foundational and frontier AI models into joint training environments.? Implement scalable data pipelines to ingest and process real-time and near-real-time data from operational and test & evaluation sources.? Support integration of AI capabilities into Joint Training Tools and simulation environments, including Fully Informed Simulation Environment (FISE).? Collaborate with cross-functional teams, including government stakeholders and partner organizations, to align AI integration with modernization efforts and mission objectives.? Develop and optimize systems that enable rapid training updates, dynamic scenario generation, and adaptive threat simulation (AI-driven OPFOR behaviors).? Contribute to planning, execution, and after-action review (AAR) processes by developing tools that enhance data capture, analysis, and visualization.? Ensure interoperability across multiple combatant commands and services within a unified training environment.? Apply software engineering best practices, including version control, automated testing, and CI/CD pipelines.? Support system performance tuning, scalability, and reliability in high-demand training scenarios.? Document system architectures, interfaces, and operational procedures.Compensation:$45/hr to $50hr.Exact compensation may vary based on several factors, including skills, experience, and education.Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable laws..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/.

Jan 29, 2026

Burnaby, BC

|

Software Engineering

|

Perm

|

$178k - $200k (estimate)

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Your work will be actively used by internal teams, powering live services, analytics, personalization, and player facing AI capabilities. Key responsibilities include:?Design, build, and operate production AI platforms supporting the full ML lifecycle: data ingestion, training, validation, deployment, monitoring, and iteration?Own systems end to end?from initial architecture to deployment, observability, optimization, and long term maintenance in a live environment?Deploy and host ML models as services (cloud or bare metal with GPUs), ensuring reliability, performance, and operational readiness?Build containerized, scalable infrastructure using Docker and Kubernetes (or ECS/GKE), including cluster management, autoscaling, and resource optimization?Implement MLOps workflows: CI/CD, model versioning, rollout/rollback strategies, metrics, alerts, and drift detection?Provision and manage cloud infrastructure using Terraform, with hands on knowledge of core cloud components (compute, load balancing, storage, IAM/policies)?Partner with game engineers, ML engineers, and data teams to translate real production needs into reusable platform capabilities?Establish standards for reliability, observability, cost efficiency, and security across the platform?Mentor other engineers, reviewing architecture and guiding best practices for production ML systemsWe 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. Software Engineer (AI Platform)","City":"Burnaby","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?5+ years of professional experience building production systems that are actively in use (e.g., processing real traffic, supporting live users, or powering internal teams)?Demonstrated ownership of systems from scratch through deployment and ongoing operation (monitoring, metrics, alerts, iteration etc.)?Hands on experience with ML model development or fine tuning (e.g., deep learning models, LLMs, diffusion models) and improving model performance or efficiency?Experience deploying ML models to production (cloud or bare metal), not just local experimentation?Solid experience with: oDocker and Kubernetes (or ECS/GKE)oCloud platforms (AWS, GCP, or Azure)oInfrastructure as Code (Terraform preferred)?Proven ability to describe concrete outcomes: what you built, how it was used, what improved (performance, cost, accuracy, reliability, scale etc.)","Skills":"?Experience with live service games, real time systems, or high throughput platforms (e.g., recommendations, search, fraud detection)?Experience building internal, multi tenant platforms or shared services?Exposure to Generative AI in production environments (e.g., content generation, agents, personalization)?Understanding of latency and performance trade offs in large scale systems?Experience enabling other teams to adopt platforms successfully (documentation, tooling, change management)","Industry":"Software Engineering","Country":"Canada","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":199900.0000,"SalaryLow":178000.0000,"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 Senior Software Engineer (AI Platform) to join an enterprise AAA game company hybrid out of Vancouver BC on a permanent basis. The Senior Software Engineer will help... build and operate a centralized AI platform used across multiple AAA game franchises. This role is focused on production systems?from scratch through deployment and long term operation?not research or application level feature development. The AI Platform team provides shared infrastructure, tooling, and services that enable teams to train, deploy, monitor, and operate AI and Generative AI models at scale. Your work will be actively used by internal teams, powering live services, analytics, personalization, and player facing AI capabilities. Key responsibilities include:?Design, build, and operate production AI platforms supporting the full ML lifecycle: data ingestion, training, validation, deployment, monitoring, and iteration?Own systems end to end?from initial architecture to deployment, observability, optimization, and long term maintenance in a live environment?Deploy and host ML models as services (cloud or bare metal with GPUs), ensuring reliability, performance, and operational readiness?Build containerized, scalable infrastructure using Docker and Kubernetes (or ECS/GKE), including cluster management, autoscaling, and resource optimization?Implement MLOps workflows: CI/CD, model versioning, rollout/rollback strategies, metrics, alerts, and drift detection?Provision and manage cloud infrastructure using Terraform, with hands on knowledge of core cloud components (compute, load balancing, storage, IAM/policies)?Partner with game engineers, ML engineers, and data teams to translate real production needs into reusable platform capabilities?Establish standards for reliability, observability, cost efficiency, and security across the platform?Mentor other engineers, reviewing architecture and guiding best practices for production ML systemsWe 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

|

$162k - $204k (estimate)

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Insight Global is looking for Senior Applied AI Engineers to join an automotive customer in the electric vehicle space. As an AI Engineer, you will contribute across the stack, from data pipelines... and retrieval to prompt/agent logic, evaluation/guardrails, and serving. You will collaborate closely with partners across Operations, Product, Sales, Customer Service, Finance, HR, and other internal teams to understand needs and deliver practical solutions that create tangible business value. You will develop responsibly, partnering with governance stakeholders on privacy, security, compliance, and safety.ResponsibilitiesBuild features and services across the AI stack: orchestration, retrieval/grounding, prompt/agent logic, evaluation/guardrails, serving, and observability.Implement robust data processing and integration pipelines to enable high-quality AI applications and analytics.Contribute to design docs, code reviews, testing, and operational playbooks to ensure reliability, maintainability, and resilience.Partner with product and business stakeholders to define requirements, iterate quickly, and measure outcomes using clear success metrics.Instrument telemetry and evaluation to monitor quality, safety, latency, and cost; improve performance based on data.Follow responsible AI practices for security, privacy, compliance, and safety in collaboration with governance teams.Participate in on-call and incident response rotations as appropriate; drive post-incident improvements.Share learnings via demos and documentation; contribute to AI literacy and enablement across the org.Salary ranges from $161,600 - $203,500 based on experience.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/.

Mar 26, 2026

Newark, NJ

|

Computer Engineering

|

Contract-to-perm

|

$41 - $51 (hourly estimate)

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- Extensive experience in quality engineering, test automation, or software development in an enterprise environment- Demonstrated experience building and maintaining test automation frameworks-... Strong programming background in multiple languages (Python, JavaScript/TypeScript, Java, etc.)- Experience with AI/LLM tools and platforms (Claude, ChatGPT, Copilot, or similar)- Fluency with Agile delivery methodologies and Test-Driven Development (TDD)- Experience integrating test automation into CI/CD pipelinesWe 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/.

Jan 24, 2026

Lehi, UT

|

Computer Engineering

|

Contract

|

$52 - $65 (hourly estimate)

{"JobID":486431,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":0,"Longitude":0,"Distance":null},"State":"Utah","Zip":"84048","ReferenceID":"SLC-94ac0253-446e-4fc8-aeb1-b4ecdb4fa9ef","PostedDate":"\/Date(1769213322000)\/","Description":"Responsibilities:?Build multimodal pipelines integrating vision, audio, radar, text, and other signals for high accuracy AI experiences. ?Optimize and deploy models for constrained hardware, including performance benchmarking. ?Partner with cloud, mobile, QA, product, UX, and hardware teams to deliver scalable AI features. ?Act as a technical mentor and system owner, shaping strategy, reviews, and roadmap priorities. ?Create tools and frameworks for model evaluation, A/B testing, and automated performance monitoring across cloud and edge.Day to Day:One of Insight Global?s clients is seeking a Staff Software Engineer to join their team. This individual will be responsible for leading the design and development of advanced AI features. They will build and refine multimodal pipelines that combine vision, audio, radar, text, and other sensor inputs to deliver highly accurate, real time experiences. Much of their time is spent optimizing and deploying AI models on constrained embedded hardware, benchmarking performance, and ensuring smooth coordination between cloud and edge systems. They work closely with cloud, mobile, QA, product, UX, and hardware teams to bring AI powered capabilities from concept to production. This individual will serve as a technical mentor and system owner, guiding architectural decisions, participating in reviews, and help shape long term strategy and roadmap priorities. They will also develop tools and frameworks that support model evaluation, A/B testing, and automated monitoring across cloud and edge environments, ensuring that deployed systems remain reliable, efficient, and continuously improving.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":"Staff AI Engineer","City":"Lehi","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?5-8 years of experience ?Solid understanding of computer vision, Video image processing, ?Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)?Experience with deep learning and computer vision methods, including CNNs, transformers, metric learning, and representation learning.?Experience deploying models to production across cloud services and edge or embedded devices?Bachelor?s degree in a related field","Skills":"Pluses:?Computer Vision \u0026 ML: Classification, Detection, Tracking, Recognition, LLM/VLM integration, Pose Estimation, Vector Embeddings ?Multi-modal ML and Sensor Fusion: visual, audio, radar, and text data ?Model Optimization: Post-training quantization, pruning, distillation, benchmarking on?NPUs/DSPs/ASICs ?Media \u0026 Signal Processing: GStreamer, FFmpeg, MediaPipe, OpenCV?Masters Degree","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":65.0000,"SalaryLow":52.0000,"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)\/"}

Responsibilities:?Build multimodal pipelines integrating vision, audio, radar, text, and other signals for high accuracy AI experiences. ?Optimize and deploy models for constrained hardware,... including performance benchmarking. ?Partner with cloud, mobile, QA, product, UX, and hardware teams to deliver scalable AI features. ?Act as a technical mentor and system owner, shaping strategy, reviews, and roadmap priorities. ?Create tools and frameworks for model evaluation, A/B testing, and automated performance monitoring across cloud and edge.Day to Day:One of Insight Global?s clients is seeking a Staff Software Engineer to join their team. This individual will be responsible for leading the design and development of advanced AI features. They will build and refine multimodal pipelines that combine vision, audio, radar, text, and other sensor inputs to deliver highly accurate, real time experiences. Much of their time is spent optimizing and deploying AI models on constrained embedded hardware, benchmarking performance, and ensuring smooth coordination between cloud and edge systems. They work closely with cloud, mobile, QA, product, UX, and hardware teams to bring AI powered capabilities from concept to production. This individual will serve as a technical mentor and system owner, guiding architectural decisions, participating in reviews, and help shape long term strategy and roadmap priorities. They will also develop tools and frameworks that support model evaluation, A/B testing, and automated monitoring across cloud and edge environments, ensuring that deployed systems remain reliable, efficient, and continuously improving.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/.

Mar 11, 2026

Buffalo Grove, IL

|

Programmer / Developer

|

Contract-to-perm

|

$50 - $62 (hourly estimate)

{"JobID":505584,"JobType":["Contract-to-perm"],"EmployerID":null,"Location":{"Latitude":-87.96,"Longitude":42.16,"Distance":null},"State":"Illinois","Zip":"60089","ReferenceID":"CHI-57c10016-7802-4812-a804-11619a03049b","PostedDate":"\/Date(1773265511000)\/","Description":"Own end-to-end ML/AI projects: problem framing, data pipelines, modeling, offline/online evals, deployment, monitoring, and iteration.?Build and productionize agentic workflows (tool-using/multi-step agents with retrieval, planning, and human-in-the-loop), including safety/guardrails and reliability.?Train classical ML models (tree ensembles, linear models, anomaly detectors, time-series forecasting) and deep learning models when appropriate.?Operationalize models with CI/CD, feature stores, reproducible training, and model registries?Monitor and improve live systems: data \u0026 concept drift detection, performance regression, bias/fairness, cost/latency; drive remediation playbooks.?Partner cross-functionally with product, data, and platform teams; write clear design docs?Work as an Individual contributor with minimal directions?Should be able to interact with stakeholders, understand the problem statement, and come up with solutionsWe 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":"AI/ML Engineer","City":"Buffalo Grove","ExpirationDate":null,"PriorityOrder":0,"Requirements":"?Minimum 6+ years hands-on ML engineering (with significant ML experience prior to 2023): you?ve shipped multiple ML systems to production. *Not looking for someone who started working on AI after pre-trained models/ChatGPT were released*?Minimum 12+ years of total experience in Software Development, preferably with a Data Analyst/Data Scientist background?Demonstrated production agent build (at least one end-to-end agentic framework delivered to users).?Strong with classical ML: feature engineering, cross-validation, calibration, regularization, class imbalance, interpretability (SHAP/LIME), time-series (forecasting, seasonality, drift).?Solid deep learning foundations (CNN/RNN/Transformers), and practical fine-tuning experience (e.g., LoRA/QLoRA, instruction tuning, RAG).?Proven MLOps: model registry/experiment tracking (MLflow or equivalent), model serving (FastAPI/TF-Serving/TorchServe/TGI/vLLM), observability.?Fluency in Python and the ML stack (NumPy/Pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow).?Excellent communication; can drive projects independently as an Individual Contributor.?Must have?Experience with agent frameworks (LangGraph/LangChain Agents, AutoGen, Google ADK) and tool use (function calling, tool routing, planners).?Retrieval/RAG design: chunking strategies, embedding models, vector stores (FAISS, Pinecone, Weaviate), hybrid search, evals.?Must have implemented projects involving some classical ML problems(classification, clustering, regression, anomaly detection, time series etc.,)?Some working experience with Cloud services, CI/CD and Microservices","Skills":"?Experience leading/mentoring junior data scientists or ML engineers is a plus?Experience fine tuning SLMs is a huge plus","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":62.0000,"SalaryLow":49.6000,"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)\/"}

Own end-to-end ML/AI projects: problem framing, data pipelines, modeling, offline/online evals, deployment, monitoring, and iteration.?Build and productionize agentic workflows (tool-using/multi-step... agents with retrieval, planning, and human-in-the-loop), including safety/guardrails and reliability.?Train classical ML models (tree ensembles, linear models, anomaly detectors, time-series forecasting) and deep learning models when appropriate.?Operationalize models with CI/CD, feature stores, reproducible training, and model registries?Monitor and improve live systems: data & concept drift detection, performance regression, bias/fairness, cost/latency; drive remediation playbooks.?Partner cross-functionally with product, data, and platform teams; write clear design docs?Work as an Individual contributor with minimal directions?Should be able to interact with stakeholders, understand the problem statement, and come up with solutionsWe 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 30, 2026

Doraville, GA

|

Computer Engineering

|

Contract

|

$32 - $40 (hourly estimate)

{"JobID":512538,"JobType":["Contract"],"EmployerID":null,"Location":{"Latitude":-84.42,"Longitude":33.76,"Distance":null},"State":"Georgia","Zip":"30360","ReferenceID":"ATL-b8f231b7-d828-4833-903d-09987eb3d292","PostedDate":"\/Date(1774884069000)\/","Description":"The AI Center of Excellence has built a portfolio of over 100 AI opportunities across a client of IG, with 10+ active projects delivering validated prototypes to business stakeholders. The CoE has proven its ability to rapidly prototype AI solutions ? multiple projects have achieved validated results within weeks. However, the consistent pattern across all active projects is the same: the path from prototype to production requires dedicated data engineering capabilities that the CoE does not currently have.Today, data preparation consumes approximately 45-55% of the AI Solution Architect\u0027s time ? time that should be spent on architecture, stakeholder engagement, and new opportunity development. Every prototype relies on manual data exports (Excel, CSV) rather than automated pipelines connected to enterprise systems. This bottleneck limits both the number of projects the CoE can support and the speed at which validated prototypes can reach production.The AI Data Engineer will be embedded within the CoE, focused on building the data pipelines and enterprise integrations needed to move AI solutions from prototype to production. This role is the critical enabler for the clients $10M incremental EBITDA target ? without production-grade data infrastructure, validated prototypes remain prototypes.Compensation:$45/hr to $55/hr Exact compensation may vary based on several factors, including skills, experience, and education.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":"AI Data Engineer- INTL LATAM","City":"Doraville","ExpirationDate":null,"PriorityOrder":0,"Requirements":"Data Pipeline Development (40%)?Design, build, and maintain ETL/ELT pipelines from enterprise systems (Oracle EPM, OHM ERP, Salesforce, Power BI)?Create reusable data connectors and transformation layers that serve multiple AI projects simultaneously?Implement data quality monitoring, alerting, and automated refresh scheduling?Build and maintain the data infrastructure on Azure (Data Factory, SQL Database, Blob Storage)Enterprise Data Integration (25%)?Collaborate with the Data Architecture team on data warehouse access, governance, and standards?Navigate data access processes for cross-business-unit projects (Finance, Manufacturing, Sales, Field Ops)?Maintain data contracts and SLAs between source systems and AI applications?Serve as the liaison between AI projects and enterprise data systemsAI/ML Data Support (20%)?Prepare and maintain datasets for AI model training and inference?Build data validation frameworks to ensure model input quality?Support both real-time and batch data requirements for AI services?Leverage AI agents and automation tools for data preparation (e.g., automated data cleansing, schema detection)Documentation \u0026 Compliance (15%)?Document data lineage, schemas, and transformation logic for all CoE data assets?Ensure compliance with SSB data governance policies?Maintain a data catalog covering all CoE data assets and their enterprise source systems? Support audit and compliance requirements for AI solutions handling financial or sensitive dataSQL (Advanced) Expert Primary language for data warehouse, ODS, Oracle EPM, and OHM ERP queriesPython- StrongETL scripts, data transformation, integration with AI/ML pipelines ETL/ELT Tools Strong Azure Data Factory, dbt, or equivalent orchestration toolsCloud Data (Azure)- Intermediate+SSB infrastructure runs on Azure ? storage, ADF, SQL Database, Blob Data Modeling Strong Dimensional modeling, data structures for analytics and AI consumptionAPI Development- IntermediateREST APIs for data service layers and cross-system integration AI/ML Concepts Familiarity Understanding model data requirements, feature engineering, and AI pipeline patternsERP Systems- FamiliarityOHM or similar manufacturing/finance ERP systems ? understanding data structures and export patterns","Skills":"Experience with Oracle EPM, Oracle Cloud, or similar financial planning systems?Background in manufacturing or CPG data environments?Experience building data pipelines that serve AI/ML models in production?Familiarity with Salesforce data integration?Experience with document processing pipelines (OCR, PDF extraction)?Knowledge of data governance frameworks and data quality tools","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":40.0000,"SalaryLow":32.0000,"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 AI Center of Excellence has built a portfolio of over 100 AI opportunities across a client of IG, with 10+ active projects delivering validated prototypes to business stakeholders. The CoE has... proven its ability to rapidly prototype AI solutions ? multiple projects have achieved validated results within weeks. However, the consistent pattern across all active projects is the same: the path from prototype to production requires dedicated data engineering capabilities that the CoE does not currently have.Today, data preparation consumes approximately 45-55% of the AI Solution Architect's time ? time that should be spent on architecture, stakeholder engagement, and new opportunity development. Every prototype relies on manual data exports (Excel, CSV) rather than automated pipelines connected to enterprise systems. This bottleneck limits both the number of projects the CoE can support and the speed at which validated prototypes can reach production.The AI Data Engineer will be embedded within the CoE, focused on building the data pipelines and enterprise integrations needed to move AI solutions from prototype to production. This role is the critical enabler for the clients $10M incremental EBITDA target ? without production-grade data infrastructure, validated prototypes remain prototypes.Compensation:$45/hr to $55/hr Exact compensation may vary based on several factors, including skills, experience, and education.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/.

Jan 22, 2026

Denver, CO

|

Software Engineering

|

Perm

|

$112k - $135k (estimate)

{"JobID":485434,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-104.87,"Longitude":39.76,"Distance":null},"State":"Colorado","Zip":"80206","ReferenceID":"DEN-df88b19b-78af-4786-9e9b-0d03f632f75c","PostedDate":"\/Date(1769087319000)\/","Description":"A client of Insight Global\u0027s is looking to hire a DevOps AI Engineer to join their team. This person will be responsible for the design, development, and deployment of AI agents and ML systems. The agents and systems will be used to automate tasks within this organization and cross other internal teams. This organization is in initial stages of implementing AI into its devops environment. Additionally, you\u0027ll be responsible for managing IaC, their hybrid cloud environment, and partner with security teams to ensure compliance. This role is onsite 4x a week in Denver. This is a direct hire opportunity with a salary range of $112K to $135k.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":"Software Engineer 2 - AI DevOps Engineer","City":"Denver","ExpirationDate":null,"PriorityOrder":0,"Requirements":"- 3 Years of experience in devops, fullstack engineering, or backend engineering doing programming in python, java, or scala. - 2 years of experience building AI/ML systems or agents using ML frameworks such as TensorFlow, scikitlearn, pytorch, or similar. - Experience doing production deployments in AWS, containerization in Docker, and orchestration in Kubernetes. - Understanding of data engineering practices like data modeling and warehousing using data bricks, spark, Kafka, and SQL.","Skills":"Experience in media, streaming, adtech, or martech industries.","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":135000.0000,"SalaryLow":112000.0000,"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's is looking to hire a DevOps AI Engineer to join their team. This person will be responsible for the design, development, and deployment of AI agents and ML systems. The... agents and systems will be used to automate tasks within this organization and cross other internal teams. This organization is in initial stages of implementing AI into its devops environment. Additionally, you'll be responsible for managing IaC, their hybrid cloud environment, and partner with security teams to ensure compliance. This role is onsite 4x a week in Denver. This is a direct hire opportunity with a salary range of $112K to $135k.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 22, 2026

The Woodlands, TX

|

Data Warehousing

|

Perm

|

$140k - $170k (estimate)

{"JobID":522207,"JobType":["Perm"],"EmployerID":null,"Location":{"Latitude":-95.47,"Longitude":30.32,"Distance":null},"State":"Texas","Zip":"77385","ReferenceID":"HOU-ed5290bf-3095-4487-b352-8dccbf82daba","PostedDate":"\/Date(1776892285000)\/","Description":"?Design, build, and deploy end to end, multi step agentic AI systems that replace or reimagine DBS business workflows. ?Architect agent pipelines using tool calling, memory, retrieval augmented generation, and orchestration patterns appropriate to workflow risk and complexity. ?Implement human in the loop and escalation mechanisms for high risk or low confidence decisions. ?Integrate agentic systems with enterprise data sources, internal APIs, and third party tools in compliance with security and data governance policies. ?Ensure strong data grounding, output quality, reliability, and graceful failure behavior in production systems. ?Select appropriate GenAI frameworks and manage LLM integrations, prompts, and model versions. ?Own delivery end to end from rapid prototype through pilot and production deployment. ?Work closely with process owners, domain experts, and governance partners to deliver trusted, usable solutions.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":"Senior AI Engineer","City":"The Woodlands","ExpirationDate":null,"PriorityOrder":0,"Requirements":"5+ years in software or related domain, featuring 2+ years specialized in AI/ML, LLM solutions, and hands-on development of agentic systems.Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and agent orchestration, with experience using LangGraph (or similar) for stateful, tool-driven execution.Experience deploying and operating LLM/agent workflows in production, including monitoring and evaluation.Working knowledge of Azure based cloud environments, including Azure AI Foundry and Databricks, in enterprise settings.Self-directed learner with strong problem-solving skills and practical business judgment.","Skills":"","Industry":"Data Warehousing","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":170000.0000,"SalaryLow":140000.0000,"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)\/"}

?Design, build, and deploy end to end, multi step agentic AI systems that replace or reimagine DBS business workflows. ?Architect agent pipelines using tool calling, memory, retrieval augmented... generation, and orchestration patterns appropriate to workflow risk and complexity. ?Implement human in the loop and escalation mechanisms for high risk or low confidence decisions. ?Integrate agentic systems with enterprise data sources, internal APIs, and third party tools in compliance with security and data governance policies. ?Ensure strong data grounding, output quality, reliability, and graceful failure behavior in production systems. ?Select appropriate GenAI frameworks and manage LLM integrations, prompts, and model versions. ?Own delivery end to end from rapid prototype through pilot and production deployment. ?Work closely with process owners, domain experts, and governance partners to deliver trusted, usable solutions.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/.

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