Overview
On Site
Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Skills
ML
MLOPS
MLflow
Kubeflow
SageMaker
Vertex AI
AWS
GCP
Azure
Docker
Kubernetes
Python
Java
JavaScript/Node
Go
CI/CD
Job Details
Job Title : Machine learning engineer
Location: Sunnyvale CA - Hybrid
Duration: Long term
Job Type : Contract
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.
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