Job Description

Job Title : Machine learning engineer

Location: Sunnyvale CA

Duration: Long term

Job Type : Contract (We can consider - W2 / C2C )

Responsibilities:

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.

Job Tags

Contract work,

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