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MLOps Engineer - Cloud Services

MLOps Engineer - Cloud Services

JSjobsolutionsPune
23 days ago
Job description

Job Title : MLOps Consultant

Role Overview :

We are seeking an experienced MLOps Consultant to provide expert guidance and technical support for deploying machine learning models to a secure, scalable, and cloud-hosted environment. This role involves advising on infrastructure design, API deployment strategies, CI / CD pipelines for ML models, and best practices for operationalizing machine learning workflows.

Key Responsibilities :

  • Review and assess the current ML model deployment setup.
  • Recommend suitable cloud platforms and hosting strategies for ML models and APIs.
  • Define and implement best practices for MLOps, including version control, monitoring, and retraining workflows.
  • Provide guidance on CI / CD pipeline design and automation for ML systems.
  • Advise on security, compliance, and data governance in cloud-based environments.
  • Collaborate with engineering teams to integrate ML components into the overall platform.
  • Deliver documentation, processes, and recommendations for ongoing maintenance and scalability.

Required Qualifications :

  • Proven experience in MLOps and cloud-based ML model deployment.
  • Strong knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, MLflow, Seldon, etc.).
  • Hands-on experience with major cloud providers (AWS, Azure, or GCP).
  • Proficiency in containerization and orchestration (Docker, Kubernetes).
  • Familiarity with DevOps tools and principles (GitLab CI / CD, Jenkins, etc.) applied to ML workflows.
  • Understanding of security, compliance, and data governance.
  • Strong communication skills for technical consultation and documentation.
  • Nice-to-Have :

  • Experience with MATLAB integration in production environments.
  • Background in computer vision or image processing systems.
  • (ref : hirist.tech)

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