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ML Ops Senior Engineer

Sunnyvale, CA, US

6 days ago
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Summary

Dice is the leading career destination for tech experts at every stage of their careers. Our client, DTEL Engineering & Consultants Inc, is seeking the following. Apply via Dice today!

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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