MLOpsSeniorEngineer
MLOpsSeniorEngineer
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1 Vacancy
Job Description
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 Scikitlearn etc..
Strong Experience in deployment/devops technologies: CI/CD pipelines Kubernetes/Docker and infrastructureascode tools (Terraform Ansible etc.. and cloudnative 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.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Contract
Employment Type
Contract
