ML Ops Engineer - Onsite Contract in Pleasanton

Net2Source (N2S); Pleasanton (CA); On-site; USD 89,544 - 96,432; Full time

Job summary

A leading IT services provider is seeking an experienced AI/ML Ops Engineer to design and maintain ML Ops pipelines. The role requires strong proficiency in AI/ML operations, project delivery best practices, and a solid foundation in data engineering. Successful candidates will work collaboratively with cross-functional teams to ensure successful model deployment and integration. This position is contract-based located in Pleasanton, California.

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).
• 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).

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.
• 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.

Skills

AI/ML Operations

Data Engineering

Model Performance Optimization

Python

ML Pipeline Tools

CI/CD Practices

Docker

Kubernetes

Cloud Platforms (AWS, GCP, Azure)

Agile Methodologies

Tools

MLflow

AWS

GCP

Azure

Job description

A leading IT services provider is seeking an experienced AI/ML Ops Engineer to design and maintain ML Ops pipelines. The role requires strong proficiency in AI/ML operations, project delivery best practices, and a solid foundation in data engineering. Successful candidates will work collaboratively with cross-functional teams to ensure successful model deployment and integration. This position is contract-based located in Pleasanton, California.