AI/ML Ops Engineer

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

This range is provided by Net2Source (N2S). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay Range

$65.00/yr - $70.00/yr

Job Details

Location: Pleasanton, CA (Onsite)

Mode of Hire: Contract

Job Title

AI/ML Ops Engineer (Contract, Net2Source Inc.)

Job Description

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.

Seniority Level

Mid-Senior level

Employment Type

Contract

Job Function

Other

Industries

IT Services and IT Consulting

Thanks,