Cloud-Based Machine Learning Specialist

19 hours ago

Mohali, Punjab, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 20,00,000
MLOps Engineer

We are seeking a seasoned MLOps expert to spearhead the deployment of machine learning models into secure, scalable, and cloud-hosted environments.

This role involves advising on infrastructure design, API deployment strategies, CI/CD pipelines for ML models, and best practices for operationalizing machine learning workflows.

Our ideal candidate will possess strong knowledge of ML model serving frameworks (TensorFlow Serving, TorchServe, MLflow, Seldon, etc.), hands-on experience with major cloud providers (AWS, Azure, or GCP), and proficiency in containerization and orchestration (Docker, Kubernetes).

  • Review and assess 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

Key qualifications include:

  • 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 qualifications include:

  • Experience with MATLAB integration in production environments
  • Background in computer vision or image processing systems

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