AI/ML Ops Engineer

Net2Source is a Global Workforce Solutions Company headquartered at NJ, USA with its branch offices in Asia Pacific Region. We are one of the fastest growing IT Consulting company across the USA and we are hiring "AI/ML Ops Engineer " for one of our clients. We offer a wide gamut of consulting solutions customized to our 450+ clients ranging from Fortune 500/1000 to Start-ups across various verticals like Technology, Financial Services, Healthcare, Life Sciences, Oil & Gas, Energy, Retail, Telecom, Utilities, Technology, Manufacturing, the Internet, and Engineering. Position: AI/ML Ops Engineer Location: Pleasanton, CA ( Onsite 5 days a week ) - Only Locals Type: Contract Experience Level -10+ Years We are looking for a skilled AI/ML Ops Engineer to join our team in Pleasanton CA . The ideal candidate will bring a strong foundation in AI/ML Operations along with a working knowledge of data engineering principles and project delivery best practices. You’ll help bridge the gap between data science and production systems, ensuring scalable, reliable, and efficient machine learning model deployment and management. Key Responsibilities: • Design, build, and maintain ML Ops pipelines for model training, validation, deployment, and monitoring. • Collaborate with data scientists, engineers, and DevOps teams to ensure seamless model integration and scalability. • Implement CI/CD practices tailored for ML workflows. • Monitor and optimize model performance in production environments. • Support governance, versioning, and reproducibility of models and datasets. • Assist in automating data ingestion, transformation, and validation pipelines as needed. • Contribute to cross-functional project delivery with an eye toward scalability and reliability. Required Qualifications: • 5+ years of experience in AI/ML Ops or related areas. • Proficiency in ML pipeline tools such as MLflow, or similar. • Experience with containerization and orchestration tools (Docker, Kubernetes). • Familiarity with cloud platforms such as AWS, GCP, or Azure. • Strong programming skills in Python (preferred) or similar languages. • Good understanding of model lifecycle management and monitoring practices. • Solid foundational knowledge in data engineering concepts (e.g., ETL, data lakes, streaming). • Exposure to agile methodologies and project delivery frameworks Madhukar Singh Email: madhukar@net2source.com