Senior MLOps Engineer

Position: Senior MLOps Engineer

Location: Jaipur

Work Mode: On-site

Experience: 7+ Years

Key Responsibilities

• Build and manage end-to-end ML pipelines.
  
• Deploy ML models using CI/CD pipelines.
  
• Develop scalable MLOps infrastructure on AWS, Azure, or GCP.
  
• Automate model training, testing, versioning, and deployment.
  
• Monitor model performance, drift, and data quality.
  
• Collaborate with Data Science and Engineering teams.
  
• Manage Docker and Kubernetes-based deployments.
  
• Optimize and troubleshoot production ML systems.
  

Required Skills

• 7+ years of experience in MLOps/ML Engineering/DevOps.
  
• Strong Python programming skills.
  
• Experience with TensorFlow, PyTorch, o...