Machine Learning Engineer Job at DeepRec.ai, Santa Rosa, CA

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  • DeepRec.ai
  • Santa Rosa, CA

Job Description

MLOps Engineer – AI Infrastructure

Location: Bay Area

About the Role

We are looking for a highly skilled MLOps Engineer with deep expertise in AI infrastructure . You will be responsible for designing, deploying, and optimizing scalable machine learning (ML) pipelines, ensuring efficient model deployment and monitoring in production environments.

Key Responsibilities

  • Design and implement scalable MLOps pipelines for model training, deployment, and monitoring.
  • Develop and manage CI/CD pipelines for machine learning workflows.
  • Optimize cloud-based and on-prem AI infrastructure to support high-performance ML workloads.
  • Automate model serving, versioning, and rollback strategies for production deployments.
  • Leverage Kubernetes, Docker, and cloud services (AWS, GCP, or Azure) to scale AI workloads.

Requirements

  • 3+ years of experience in MLOps or AI infrastructure engineering.
  • Strong proficiency in Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure).
  • Experience with ML model deployment frameworks (TensorFlow Serving, TorchServe, Triton Inference Server).
  • Hands-on experience with CI/CD pipelines
  • Proficiency in Python

Job Tags

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