Machine Learning Lead / ML Ops Lead

Tagmatix360; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Tagmatix360 in Bangalore is seeking an experienced Machine Learning Lead/ML Ops Lead to own and scale our ML platform. You will drive end-to-end ML engineering, MLOps practices, and production systems across teams.

The role requires 10+ years hands-on experience, strong Python skills, and deep knowledge of Azure, AWS or GCP, Snowflake AI, and complex model deployment.

Qualifications

• Strong experience in ML engineering and MLOps.
• Proficient Python programming.
• Experience with modern ML libraries and frameworks.
• Hands-on Azure expertise (Azure ML, Azure Functions, Key Vault, DevOps).
• Experience with AWS or GCP is acceptable.

Skills

Machine Learning

MLOps

Python

Azure

Snowflake AI

Snowpark Container Services

Model deployment

Production ML systems

Tools

Azure ML

Azure Functions

Cosmos DB

Azure DevOps

Key Vault

Snowpark Container Services

Snowflake Cortex AI

AWS

GCP

Job description

Machine Learning Lead/ ML Ops Lead

Experience: 10+ Years

Location: Bangalore

Overview

We are looking for an experienced ML Platform Lead with 10+ years of hands‑on experience in Machine Learning, MLOps, and cloud platforms.

Required Skills:

• Strong experience in Machine Learning Engineering and MLOps.
• Strong Python programming skills.
• Experience with modern ML libraries and frameworks.
• Strong experience with Azure, especially:
• Azure Machine Learning, Azure AI Foundry, Azure Functions Cosmos DB, Azure DevOps, Key Vault
• Experience with AWS or GCP is also acceptable.
• Hands‑on experience with Snowflake AI, including:
• Cortex AI
• Snowpark Container Services (SPCS)
• Experience in large-scale model deployment and infrastructure management.
• Strong knowledge of performance tuning, monitoring, and production ML systems.

Preferred:

• A solid background in platform engineering or platform operations is considered a strong added advantage.