Role: ML Ops senior engineers
Location: Sunnyvale, CA
Duration: 12+ Months
Experience Needed: 12+ Years

Job Description:

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 (GCP 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.

All your information will be kept confidential according to EEO guidelines.