AI / ML Engineer

AI & ML Engineering

• Research, evaluate, and implement ML and Generative AI algorithms and frameworks.
• Design and develop reusable AI and ML services.
• Support the complete model lifecycle from development through deployment and monitoring.
• Build scalable data and ML pipelines.

Cloud & MLOps

• Deploy and manage AI workloads on AWS and GCP.
• Build CI/CD pipelines using Jenkins, GitHub Actions, and automation frameworks.
• Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.
• Promote MLOps best practices and automation across AI initiatives.

Architecture & Collaboration

• Design scalable architectural patterns for AI services.
• Collaborate with Data Science, Data Engineering, Cloud, and Enterprise Architecture teams.
  • Mentor junior engineers and contribute to engineering best practices.