Job Search Results for machine learning

We are seeking an experienced Data Scientist with a strong foundation in machine learning and a proven ability to translate research and experimentation into practical, production-ready solutions.... More This is an individual contributor role focused on building, deploying, and scaling ML models and intelligent automation solutions that directly support core business operations.You will collaborate with cross-functional teams?including product, engineering, and senior stakeholders?on strategic initiatives that bring next-generation ML capabilities into production.Key ResponsibilitiesDesign and implement machine learning solutions that automate workflows, enhance decision-making, and improve customer and employee experiencesApply ML techniques such as regression, classification, clustering, and ensemble methods (e.g., Random Forest, XGBoost) to structured and semi-structured dataBuild robust, scalable, and production-ready ML models that deliver measurable business impactPartner with data engineering and MLOps teams to ensure models are reliable, well-tested, and deployable at scaleTranslate statistical and machine learning research into practical applications across areas such as risk assessment, operational automation, and customer servicingCollaborate with product owners, engineers, and business stakeholders to define use cases, design solutions, and measure outcomesContribute to reusable frameworks, tools, and best practices for ML development and deploymentFollow model governance, documentation, testing, and validation standardsWe 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/.Less

Insight Global is looking for a Machine Learning Engineer to help lead the design, development, and deployment of scalable machine learning models that power business decisions across this company?s... More enterprise. This role combines technical depth in ML/AI with a strong understanding of business domains such as Sales, Service, Finance, Order Fulfillment, and Supply Chain. You will collaborate closely with Data Scientists, Data Engineers, and business partners to build production-ready solutions that drive measurable impact.Responsibilities:Machine Learning Development & Deployment-Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification.-Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience.-Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow.Cross-Functional ML Use Cases-Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases.-Develop domain-specific models and continuously improve them using feedback loops and real-world performance data.Model Governance and MLOps-Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments.-Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure).Data Engineering and Feature Architecture-Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks.-Perform feature selection, transformation, and engineering aligned with each domain?s business logic.Communication & Stakeholder Collaboration-Present technical insights and model results to business and executive stakeholders in a clear, actionable format.-Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects.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/.Less

We?re seeking a ML Engineer to architect, build, and operationalize nextgeneration agentic AI systems and enterprise-scale ML pipelines on Azure. This role requires deep expertise in multiagent... More orchestration, distributed systems, LLM engineering, and secure cloud-native deployments. You will define technical strategy, own architecture end-to-end, and deliver production-ready AI systems leveraging Azure Foundry, Azure OpenAI, LangChain, Airflow, and modern MLOps practices. Pay for this role is $60-$70 an hour based on experience. Key Responsibilities:? Architect and implement complex multi-agent AI systems, leveraging tool-calling, autonomous agent patterns, and orchestration frameworks ? Design and deliver high-throughput ETL/ELT and feature pipelines using Apache Airflow and Azure data services ? Build advanced LLM workflows using LangChain, Azure Foundry Prompt Flow, and custom agent frameworks ? Develop Azure-native solutions using Azure Machine Learning, Azure OpenAI models, Azure Functions, AKS, and Azure AI Services ? Integrate MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication patterns to enable interoperable, scalable agent systems ? Implement RAG, vector search, semantic memory, and enterprise data integrations at scale ? Define MLOps standards: CI/CD, model governance, lineage, observability, evaluation harnesses, and automated testing for LLM/agent systems ? Own architectural reviews, security modeling, performance optimization, and production reliabilityWe 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/.Less

We are seeking a highly skilled Machine Learning Engineer for a 6-month contract to help build and advance a next-generation recommendation engine. This solution will determine which financial... More products?such as mortgages, investment funds, and other offerings?should be presented to customers, optimizing for both relevance and highest potential revenue. You will play a hands-on role in architecting and developing the model, leveraging an existing version-one foundation that includes established data pipelines, engines, and cloud infrastructure. Your primary focus will be to design and build the recommendation system, while the MLOps team will support deployment, scaling, and long-term maintenance.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/.Less

We are seeking a Senior Data Scientist to design, build, and deploy AI and machine learning solutions that solve real business problems at scale. This is a hands-on individual contributor role with... More opportunities to lead analytical workstreams and mentor junior team members.You will collaborate closely with data scientists, data engineers, and business partners to deliver production-ready models and actionable insights.What You?ll Do? Lead data science use cases and provide guidance to junior data scientists? Explore, analyze, and prepare data from multiple sources for modeling? Build and deploy predictive models using statistical, ML, and AI techniques? Partner with engineering and MLOps teams to move models into production? Ensure data quality, model accuracy, and consistent reporting? Communicate insights using data visualization and clear storytelling? Work cross-functionally to identify new data-driven opportunities? Contribute to best practices, tools, and standards across the data science teamWe 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/.Less

Insight Global is seeking a Senior Applied Scientist, Machine Learning to sit hybrid at a Cybersecurity client in Frisco, Texas. you will lead the end-to-end development and deployment of... More high-impact ML models across fraud detection, dynamic pricing, journey optimization, and contextual recommendation systems. You'll design and execute experimentation frameworks, champion GenAI tooling adoption to accelerate development, and apply advanced techniques, including deep learning and reinforcement learning.(This role can pay $200,000-$215,000 based on years of 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/.Less

This global hotel company is looking for a very skilled Machine Learning Engineer on the Systems/Back end/Infrastructure side. This ML Engineer will build software which uses machine learning on a... More typical back end application. They will build the following: high performance APIs, systems that read and convert data to inputs to ML models, and software systems used to train and evaluate ML. We need someone who has done some of the following: built ML pipelines, services, search systems, recommender systems, fraud detection. Project examples could be:-Specific projects the team is working on: feature store database used to store data being use by ML models (if you go to Amazon, they know who you are, they know our profile, our purchases, compare to people in similar geographic regions using an array of data by feeding your amazon login and retrieve data representing your profile). (Feature Store Rebuild)-To make models useful, you have to train them through big amounts of data. There are dozens of these models and simplify the data to be used by the models.-Search on the website, recommender systems. Create elements of search engines.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/.Less

A large global retailer is seeking a talented and experienced Senior Machine Learning Engineer. The ideal candidate will have a strong background in machine learning, proficiency in Python, and... More experience with Generative AI (GenAI), React, Mega Cash, Cashing, and PostgreSQL. This role involves developing and deploying machine learning models, collaborating with cross-functional teams, and contributing to the continuous improvement of our financial products. We are looking for someone who is hands on but can lead a 3-4 member team.Key Responsibilities:Design, develop, and deploy machine learning models to solve complex financial problems.Collaborate with data scientists, software engineers, and product managers to integrate machine learning solutions into our products.Implement and optimize algorithms for real-time data processing and analysis.Develop and maintain scalable data pipelines using PostgreSQL.Utilize Python and GenAI to create innovative solutions for financial applications.Work with React to build interactive and user-friendly interfaces.Ensure the security and efficiency of financial transactions using Mega Cash and Cashing technologies.Stay up-to-date with the latest advancements in machine learning and financial technologies.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/.Less

Insight Global is looking for an Operating Manger to lead the local Machine Learning team in Bangalore, India. This company is on the forefront of technology innovation, delivering breakthroughs and... More trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. This individual will lead a team of ML Engineers in developing and deploying high-impact machine learning solutions across core business functions including Sales, Service, Finance, Order Fulfillment, and Supply Chain. This role requires a strong mix of hands-on technical leadership, people management, and strategic alignment to guide ML engineers from ideation through production deployment. Responsibilities:Team Leadership and Talent Development-Manage, mentor, and grow a high-performing team of machine learning engineers-Provide technical direction, architectural oversight, and career mentorship-Define team objectives and success metrics aligned with enterprise prioritiesProgram Execution and Delivery-Drive the successful execution of ML use cases such as customer churn prediction, upsell opportunity scoring, demand forecasting, and operational risk detection. -Work closely with data science, data engineering, product, and business stakeholders to define and deliver scalable ML solutions. -Oversee delivery timelines, model development, deployment readiness, and feedback integration. ML Engineering and MLOps Strategy -Establish best practices in model development, deployment, and monitoring, using tools like MLflow, SageMaker, Azure ML, Airflow, or Kubeflow. -Guide the team in implementing CI/CD for ML pipelines, model versioning, feature stores, and performance monitoring. Champion a strong foundation in software engineering, code quality, and reusability in ML development. Functional & Cross-Domain Focus -Align ML efforts with key business domains such as Sales (lead scoring, renewals), Service (case triage), Finance (forecasting), Order Fulfillment (ETA, risk), and Supply Chain (inventory planning, logistics optimization). -Collaborate with business owners to prioritize high-impact ML use cases and ensure adoption and value realization. Technology & Architecture Oversight -Partner with data platform and infrastructure teams to scale ML solutions using Snowflake, Datarobots, and enterprise cloud platforms (AWS, Azure, GCP). -Ensure ML models integrate seamlessly with business systems such as Salesforce, Oracle Fusion Cloud, and other operational tools.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/.Less

Insight Global is looking for an AI Machine Learning Engineer within Data Annotation to work with one of our tech clients in the Bay Area. This person will:work alongside NVIDIA?s data annotation... More platform team, dedicated to addressing our evolving annotation data needs for training and evaluating LLMs. We value expertise in data science paired with a robust data engineering foundation. Together, we'll architect data pipelines, delve into advanced data analysis, and craft models using ML/AI. We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model creation. If you share a passion for innovation and creating exceptional experiences through the integration and management of large data sets, then you're the one we've been searching for! This role can pay between $80-100/hour depending on years of experience and skillset.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/.Less