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Senior Software Engineer (MLOps)
Senior Software Engineer (MLOps)Eliassen Group • San Jose, CA, United States
Senior Software Engineer (MLOps)

Senior Software Engineer (MLOps)

Eliassen Group • San Jose, CA, United States
7 days ago
Job type
  • Temporary
Job description

Our client, a leading provider of digital creative solutions, has an excellent opportunity for a Senior Software Engineer (MLOps) to work on a 6+month contract opportunity. Work will be a hybrid schedule in San Jose, CA.

Rate : $65 - $75 / hr. w2

We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Responsibilities

  • Pipeline Development : Implement, optimize, and maintain CI / CD pipelines for ML systems, including integrations with GitHub workflows and Jenkins.
  • Collaboration : Partner with data scientists, frontend engineers, and platform teams to deliver seamless integration of ML models into core evaluation platforms.
  • Environment Management : Administer ML development / production environments using cloud-native solutions; optimize for scalability, reliability, and cost.
  • Tooling and Automation : Evaluate, build, and deploy automation tools to streamline the end-to-end ML lifecycle.
  • Quality & Monitoring : Enhance and develop quality evaluation features and ensure robust monitoring via dashboards and automated alerts.
  • Documentation & Best Practices : Champion engineering best practices, promote code quality, and document workflows, tools, and processes for effective team adoption.

Experience Requirements

  • Python, Typescript, Shell script languages
  • Experience with ML pipeline tools (Kubeflow, Airflow, MLflow)
  • Services on AWS such as S3, Lambda, DynamoDB
  • CI / CD systems (GitHub Actions, Jenkins, GitLab)
  • Infrastructure-as-Code experience (Terraform, CloudFormation)
  • Containerization (Docker, Kubernetes)
  • Communication and documentation skills
  • Strong problem-solving skills and the ability to work collaboratively across teams.
  • Strong knowledge of ML-Ops a bonus
  • Education Requirements

  • BS or MS in Computer Science, Artificial Intelligence, or a related technical field.
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    Senior Software Engineer • San Jose, CA, United States