DevOps Engineer

LE0010 Stanford Health Care

Newark, New Jersey, United States

Newark, New Jersey, United States

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À propos

Overview We are seeking a Senior AI Platform & ML Ops Engineer to architect the layered infrastructure required for autonomous, agentic systems within Stanford Healthcare. What you will do Design, build and maintain scalable and robust infrastructure for AI/ML systems, including cloud-based environments, containerization and orchestration platforms. Develop and implement CI/CD pipelines to automate deployment, testing and monitoring of AI/ML models and applications. Collaborate with data scientists, data engineers and software engineers to optimize model training, deployment and inference pipelines. Monitor and troubleshoot AI/ML systems to ensure high availability, performance and reliability. Maintain and monitor model training and inference pipelines across multi‑cloud tenants, especially around large language models (LLMs). Maintain Kubernetes pods, container registry, virtual machine image library and model registry. Monitor infrastructure utilization and costs related to model training, inference and GPU usage. Implement best practices for security, data privacy and compliance in AI/ML workflows and infrastructure. Evaluate and integrate new tools, technologies and frameworks to improve the efficiency and effectiveness of MLOps processes. Mentor and provide technical guidance to junior members of the organization. Stay up‑to‑date with the latest advancements and trends in MLOps, DevOps and cloud technologies and share insights with the team. Education Qualifications Bachelor’s or higher degree in Computer Science, Engineering or a related field. Experience Qualifications Three (3) or more years of directly related experience. Required Knowledge, Skills and Abilities Proven experience as an MLOps Engineer. Strong knowledge of cloud platforms such as AWS, Azure or Google Cloud and experience with infrastructure‑as‑code tools like Terraform or CloudFormation. Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes. Experience with CI/CD tools such as GitLab CI/CD, GitHub Actions or CircleCI. Solid programming skills in languages such as Python, Rust or Go and experience in scripting and automation. Familiarity with machine learning frameworks and libraries such as PyTorch, TensorFlow and scikit‑learn. Deep understanding of DevOps principles, agile methodologies and software development lifecycle. Strong problem‑solving and troubleshooting skills, with the ability to analyze and resolve complex technical issues. Excellent communication and collaboration skills with the ability to work effectively in cross‑functional teams. Location Stanford Health Care, Stanford, California. Equal Opportunity Employer Stanford Health Care strongly values diversity and is committed to equal opportunity and non‑discrimination in all its employment practices. Applicants will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status or disability. Qualified applicants with criminal convictions may be considered after an individualized assessment. Persons of all genders, racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Base Pay Scale Generally starting at $79.21 – $104.97 per hour. Salary will be based on various factors including internal equity, experience, education, specialty and training. Physical Demands Tasks involve no exposure to blood, body fluids or tissues and are not a condition of employment. Standard physical demands of the work environment and safety expectations apply.
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Newark, New Jersey, United States

Compétences linguistiques

English

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