Hiring: Senior AI Engineer - Data & MLOps (Teradyne, Remote) Company: Teradyne Location: North Reading, MA Job Posted Time: 2026-09-16 17:19:52 Target Skills & Keywords : Azure, Azure DevOps, CI/CD, Elasticsearch, Foundry, GCP, GitHub Actions, MLOps, MLflow, Machine Learning, Model Registry, PyTorch, Python, RAG, SQL, Snowflake, TensorFlow, Vertex AI, scikit-learn About the job Experience: •10 years of experience in ML/AI or software engineering, including at least 3 years building and operating production ML/AI systems and recent hands-on experience with generative and agentic AI. •At least 3 years building and operating production ML/AI systems and recent hands-on experience with generative and agentic AI. Required Skills: •As a Senior ML / AI Engineer at Teradyne, you will design, build, and operationalize the machine learning and AI solutions that power our IT organization, and you will prepare the team—technically and operationally—to own the AI solutions Teradyne develops internally. •Reporting to the Enterprise AI/Data Product Manager within the Enterprise Architecture and Data organization, you will bridge solution development and production ownership, ensuring our AI solutions are reliable, governed, and sustainable long after they are first built. •Develop ML/AI solutions requested by the IT organization—predictive and classification models, GenAI assistants, RAG workflows, and intelligent automation—and engineer the MLOps/LLMOps practices, pipelines, and playbooks that allow the team to operate and continuously improve them. •Work across our enterprise AI stack—primarily Microsoft Azure (Azure AI Foundry and Microsoft Copilot Studio), Anthropic Claude, and Google Vertex AI and Snowflake Cortex AI—grounding solutions in trusted enterprise data and integrating with enterprise systems through MCP servers and secure APIs. Qualifications: •We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you’re ready to join us in this mission, take a closer look at the minimum criteria for the position. •8–10 years of experience in ML/AI or software engineering, including at least 3 years building and operating production ML/AI systems and recent hands-on experience with generative and agentic AI. •Bachelor’s or advanced degree in Computer Science, Data Science, Engineering, or a related field. •Strong proficiency in Python and SQL, and experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow. •Hands-on experience building and deploying ML and generative AI solutions with one or more enterprise AI platforms: Azure AI Foundry, Microsoft Copilot Studio, Anthorpic Claude, Cursor, Google Vertex AI, and Snowflake Cortex AI. •Proven MLOps/LLMOps experience—multi-environment pipelines, CI/CD (Azure DevOps or GitHub Actions), Azure Machine Learning, MLflow, and model lifecycle management. •Strong knowledge of model evaluation and testing, AI observability, responsible AI, AI security, and governance frameworks. •Multicloud experience with Microsoft Azure as primary and Google Cloud as secondary, integrating with enterprise data on Snowflake and Microsoft Fabric. •Poven ability to mentor and upskill teams, fostering a culture of innovation and learning. •Strong collaboration and communication skills, with the ability to work across technical and business teams. Compensation: •$133,900 - $223,900 / year •This job is eligible for discretionary bonus(es) based on financial performance Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!