Cloud Machine Learning Deployment Specialist

23 hours ago

Pune, Maharashtra, India beBeeDeployment Full time ₹ 1,00,00,000 - ₹ 2,50,00,000
Job Title: Cloud Machine Learning Deployment Specialist

We are seeking a skilled Cloud Machine Learning Deployment Specialist 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.

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

The successful candidate will have a strong understanding of cloud-based ML model deployment, as well as excellent technical and communication skills. If you have a passion for MLOps and cloud computing, we encourage you to apply for this exciting opportunity.

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