ML OPS Engineer

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Unable to Provide Sponsorship

Skills

Docker
Machine Learning (ML)
Python
Google Cloud Platform
TensorFlow
PyTorch

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.

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About NextGen IT Inc.