ONSITE::ML engineer at Sunnyvale, CA (Locals to CA) ::ONLY W2

Overview

On Site
Depends on Experience
Contract - W2

Skills

TensorFlow
PyTorch
Scikit-learn
Terraform
Ansible
CI/CD
ML Ops

Job Details

Position : ML Ops engineer

Location : Sunnyvale, CA

Duration : 6+ 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.

Thanks,

Hima

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