Machine Learning Engineer

Job Description - Machine Learning / MLOps SME
Experience: 6–10 Years
Location: Hyderabad, Chennai, Bengaluru, Pune
Work Mode: Hybrid – 2 Days/Week
Shift: 1:00 PM – 10:00 PM
Interview Rounds: 2 – Technical + Managerial
Budget – 22 LPA
Role Overview
We are looking for an experienced MLOps / Machine Learning SME with strong expertise in end-to-end MLOps, Machine Learning, Python, and AWS ML services. The candidate will work in a client-facing capacity and should have strong communication skills.
End-to-End MLOps – Strong hands-on experience across the complete ML lifecycle.
Machine Learning – Strong understanding and practical experience.
Python – Strong programming and development skills.
AWS SageMaker & AWS Bedrock – Mandatory hands-on experience with both.
Client-Facing Experience – Excellent communication and stakeholder management skills.
Secondary Skills
Kubernetes
Terraform
Data Engineering – Good to have
Key Responsibilities
Design, implement, and manage end-to-end MLOps pipelines.
Develop and deploy machine learning models using Python and AWS services.
Work extensively with AWS SageMaker and AWS Bedrock.
Manage model deployment, monitoring, versioning, and lifecycle management.
Collaborate directly with clients and business stakeholders.
Act as the Subject Matter Expert (SME) for MLOps and Machine Learning.
Support production ML environments and troubleshoot technical issues.
Contribute to cloud infrastructure and automation using Kubernetes/Terraform.

Work arrangement
Hybrid