ML (Machine Learning) Ops Senior Engineers_(Hybrid)_W2

  • Sunnyvale, CA
  • Posted 5 days ago | Updated 5 days ago

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

API
Apache Spark
Cloud Computing
Continuous Delivery
Continuous Integration
DevOps
Kubernetes
Machine Learning (ML)
Orchestration
PyTorch
Python
TensorFlow
Distributed Computing
Encryption
Good Clinical Practice

Job Details

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Position: ML Ops Senior Engineers

Location: Sunnyvale CA

Duration: 12 + Months

Technical Skills

Must have:

Expertise in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).

Strong Experience in deployment/devops technologies: CI/CD pipelines, Kubernetes/Docker, and infrastructure-as-code tools (Terraform, Ansible, etc.). and cloud-native architectures (Google Cloud Platform and Aruze), monitoring and observability for ML workloads

Advanced understanding of ML pipeline orchestration tools like Kubeflow, MLflow, Airflow, or TFX.

Nice to have:

Experience with distributed computing frameworks (e.g., Spark, Ray, Dask) is a plus.

Familiarity with model explainability, fairness, and bias detection tools is highly desirable.

Strong knowledge of security best practices for ML systems, including data encryption, API security, and governance.

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