Cloud Native MLOps Engineer

1 week ago


Mumbai, Maharashtra, India beBeeMLOPs Full time ₹ 4,50,000 - ₹ 13,50,000
Job Title: Cloud Native MLOps Engineer

The ideal candidate will have a strong background in machine learning and cloud computing, with experience in designing and implementing scalable MLOps pipelines on Google Cloud Platform.

They will work closely with cross-functional teams to integrate AI models into production environments, ensuring seamless deployment and optimization of ML workloads.

Key responsibilities include:

  • Designing and managing MLOps pipelines on GCP to support continuous delivery and deployment of ML models
  • Collaborating with data scientists, software engineers, and IT teams to integrate AI models into production environments
  • Implementing CI/CD pipelines, version control, model monitoring, and retraining workflows
  • Utilizing GCP services like AI Platform, Vertex AI, and BigQuery to optimize ML workloads
  • Troubleshooting deployment issues and ensuring scalability and security of AI/ML systems
  • Continuously improving performance and reliability of ML models in production

Requirements include:

  • Bachelor's degree in Computer Science, AI, or related field
  • 3+ years of experience in MLOps with focus on GCP
  • Strong expertise in GCP tools like Vertex AI, BigQuery, Dataflow, and AI Platform
  • Proficiency in Python, Docker, Kubernetes, and cloud-native CI/CD tools
  • Experience in automating end-to-end machine learning lifecycle
  • Preferred qualifications include GCP Professional Machine Learning Engineer certification and experience with MLOps in other cloud platforms

This is a permanent position with an immediate start date. The successful candidate will be based in Pune, Bangalore, Hyderabad, Mumbai, Chennai, or Noida.



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