- 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 – Robust 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.

📌 Machine Learning Engineer (Hyderabad)
🏢 Sourcebae
📍 Hyderabad