Mlops Engineer

GLOBAL PAYMENT HOLDING COMPANY

Pune, India
Ci/cd pipelines for ai/ml
Cloud infrastructure management (aws/gcp)
Kubernetes and containerization
Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment

Job Summary

  • Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment.
  • Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools like Terraform.
  • Collaborate with data scientists, AI/ML engineers, and platform team members to ensure smooth transitions from experimentation to production.

Matching Summary

Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment.

Skills & Requirements

Must-have

  • CI/CD pipelines for AI/ML
  • Cloud infrastructure management (AWS/GCP)
  • Kubernetes and containerization
  • Vector database and feature store support
  • Monitoring and observability tools
  • Scripting languages (Python, Bash)
  • Agentic AI systems deployment

Nice-to-have

  • High initiative and accuracy
  • Critical thinking and problem-solving
  • Flexibility and adaptability
  • Independent work with latitude
  • Navigating organizational structure

Key Requirements

  • 4+ years DevOps/MLOps/infrastructure engineering
  • 2+ years in AI/ML environments
  • Hands-on cloud-native services experience
  • Strong CI/CD and configuration management skills
  • Experience with monitoring, logging, and alerting
  • Deep understanding of Kubernetes

Work Rights

Not specified

Tailored Resume

Cover Letter