ML Ops Engineer

Preferred Skill sets

• Hands-on experience on cloud platforms (e.g., AWS, Azure, GCP) with VPC, Load balancer, VM, SQL, Storage
• Knowledge of Configuration Management tools like – Puppet, Ansible, Chef, Terraform, etc.
• Proven experience as a DevOps or MLOps Engineer, with a focus on machine learning deployments.
• Strong proficiency in scripting languages (e.g., Python, Bash)
• Knowledge of Linux operating system
• Knowledge of CI/CD tools like Jenkins
• Hands-on experience with containerization and orchestration tools (e.g.,Docker, Kubernetes).
• Excellent problem-solving and communication skills.

Skills: MLOps , AWS , ML Flow