Machine learning engineer

  • Sunnyvale, CA
  • Posted 4 hours ago | Updated 4 hours ago

Overview

On Site
Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

ML
MLops

Job Details

Job Title : Machine learning engineer--------10+ years min

Location: Sunnyvale CA onsite

Duration: Long term

Job Type : Contract

All kind of visa is acceptable

JD

Strong proficiency in end-to-end machine learning engineering, including data preparation, feature pipelines, deployment, and monitoring.
Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or similar.
Backend or full-stack development experience with one or more languages (Python, Java, JavaScript/Node, Go, etc.).
Familiarity with cloud environments (AWS, Google Cloud Platform, Azure) and containerization (Docker, Kubernetes).
Experience building automated CI/CD pipelines for ML workflows.
Strong understanding of model versioning, reproducibility, and experiment tracking.
Ability to work in a fast-paced environment and collaborate across data science, engineering, and product teams.

Preferred
Experience building internal ML platforms or developer tools.
Knowledge of distributed systems and large-scale data processing (Spark, Flink, Beam, etc.).
Familiarity with monitoring tools for ML models (e.g., Evidently AI, Fiddler, Arize, WhyLabs).
Experience deploying multiple models in production environments.

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