Job Search Results for machine learning

Insight Global is hiring a Senior Machine Learning Engineer to join one of our largest enterprise retail clients as they transform the future of digital commerce. This team is building... More next-generation AI and personalization capabilities that power millions of customer interactions across grocery, beauty, pharmacy, loyalty, and apparel.You?ll be part of a high-impact engineering group leveraging advanced machine learning, generative AI, and large-scale cloud infrastructure to redefine how customers discover and shop for products. This is an opportunity to work with massive datasets, cutting-edge technologies, and a team that is shaping the future of retail innovation.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 Machine Learning Engineer?leaning Data Scientist to join the Wildfire Consequence Modeling team. This role is ideal for someone who can work effectively with academically oriented... More researchers while bringing a solution architecture and software engineering mindset to model design, implementation, and production grade systems.The team is composed primarily of individuals with academic backgrounds. This role will help balance the group by emphasizing practical problem solving, system design, and scalable machine learning solutions, while still engaging deeply in data science and model development.________________________________________Key Responsibilities?Design, develop, and deploy machine learning systems supporting wildfire consequence modeling?Collaborate closely with academic researchers and data scientists to translate research concepts into production ready models?Lead or contribute to solution architecture for data and ML workflows, balancing performance, scalability, and maintainability?Design and implement end to end ML pipelines, including data ingestion, feature engineering, model training, and inference?Apply strong software engineering principles to machine learning model development?Support and guide architectural decisions related to cloud infrastructure, tooling, and integrations?Work hands on with geospatial data and analytics relevant to wildfire modeling?Partner with the broader data science team to improve model robustness, scalability, and operational readinessWe 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 team of experienced, driven Machine Learning Engineer to join an established health technology company sitting in San Jose, CA. This is a full-time, permanent role with... More competitive salary, bonus, and comprehensive benefits.In this role you'll need: Deep Learning Frameworks: Hands-on experience with PyTorch (main focus) and familiarity with TensorFlow.Large-Scale Model Training: Exposure to advanced training techniques like Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), ZeRO, and model parallelism (pipeline/tensor). Experience with distributed training is a strong plus.Model Optimization: Skilled in improving model performance through techniques like quantization (PTQ, QAT, AWQ, GPTQ), pruning, knowledge distillation, KV-cache tuning, and using efficient attention mechanisms like Flash Attention.Scalable Model Serving: Understanding of how to deploy models at scale, including autoscaling, load balancing, streaming, batching, and caching. Comfortable working alongside platform engineers to build robust serving pipelines.Data & Storage Systems: Proficient with both SQL and NoSQL databases, vector databases (e.g., FAISS, Milvus, Pinecone, pgvector), and data formats like Parquet and Delta. Familiar with object storage systems.Code Quality: Writes efficient, clean, and maintainable code with a focus on performance.End-to-End ML Lifecycle: Solid grasp of the full machine learning workflow?from data collection and model training to deployment, inference, optimization, and evaluation.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 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

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 $65-100/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

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

We are seeking an AI Engineer for a large insurance company in Des Moines, IA. This person will be working as the sole member of the Agentic Team and collaborating with the Strategic Architecture &... More Engineering (SAE) group. The engineer will be responsible for building out the roadmap and strategy for the Agentic project, operating within a production environment. Day-to-day tasks include gathering and summarizing documents to support underwriters in making informed decisions. A key initiative involves developing a React-based application that enables underwriters to easily access and utilize summarized information, ultimately enhancing their interaction with the business.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 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... More 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/.Less

Pay Range $40/hr-$60/hrYou will work as an ML systems engineer building software for non-destructive testing in the nuclear industry, including visual, ultrasonic, eddy current, and other... More inspection-data workflows. Your role will be to support the development of ML workflows by ensuring that they can be deployed in reproducible, stable workflows for pilot use.This is not a pure data scientist role and is not focused on core model research. The primary focus is ML system integration, deployment, reproducibility, and infrastructure-aware engineering in constrained environments.Early GrowthExpected after 3?6 months; used to rank, not reject.? Begins standardizing deployment and reproducibility practices across multiple projects to shorten setup time for future work.? Contributes informed input into architectural decisions related to artifact storage, configuration patterns, and pipeline structure in collaboration with data scientists.? Identifies recurring integration challenges with legacy systems and proposes pragmatic improvements within existing ownership boundaries.? Develops stronger intuition for failure modes in pilot deployments and proactively mitigates them before field testing.? Builds practical working knowledge of secure, air-gapped, or on-prem deployment realities, including dependency management, offline install processes, storage limitations, permissions, and data-access constraints.? Helps data scientists move workflows from exploratory development into stable, repeatable pilot deployments.Long-Term DevelopmentDirection-setting; tie-breaker between strong candidates.? Takes ownership of reproducibility and deployment standards across multiple projects. Moves from stabilizing individual workflows to defining consistent conventions for configuration management, artifact handling, and pilot deployment that reduce setup time and ambiguity for future projects.? Begins shaping integration boundaries in collaboration with Applied ML Engineers, data scientists, and legacy system owners. Contributes to defining stable training and inference interfaces, data contracts, and runtime assumptions that reduce coupling and minimize future rewrite risk.? Proactively identifies and mitigates recurring failure modes in pilot environments.? Develops intuition for hardware variability, data inconsistencies, runtime edge cases, and integration friction, and introduces pragmatic safeguards and diagnostics before issues surface in field testing.? Helps define practical standards for ML workflow deployment in secure nuclear inspection environments where data ownership, network segmentation, limited cloud access, and customer-controlled datasets shape system design.? Supports the long-term maturation of ML systems infrastructure without becoming responsible for enterprise-scale data lake ownership or broad organizational cloud architecture.You?ll collaborate with subject-matter experts and data scientists to validate solutions and follow best practices for packaging, observability, and integration into existing systems. This role will help productize ML workflows so they can operate reliably outside exploratory notebooks and within secure, on-prem, limited-cloud, or air-gapped environments.Early projects will have well-defined scopes focused on technical execution, with more flexibility and responsibility for shaping deployment patterns as the team grows.The work may involve binary inspection data such as images, video, signals, ultrasonic data, eddy current data, and other scientific or industrial formats. The role will also require awareness of networking, hardware, data architecture, and deployment limitations in secure environments.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

Responsibilities: Coordinate with 1st shift management to review production goals, part counts, and any shift-to-shift issues. Supervise a team of 56 CNC operators and programmers, ensuring smooth... More and efficient operations. Oversee machine loading/unloading and basic maintenancemachines are largely self-sufficient, similar to automated systems. Monitor machine performance and make recommendations for maintenance or improvements. Ensure production targets and quality standards are met.Support team members with troubleshooting and problem-solving on the floor.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/ .Less