Senior ML Engineer - Azure ML & MLOps Expert

Wipro; St. Louis (MO); On-site; USD 80,000 - 158,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Paid time off

Disability insurance

Job summary

Wipro is seeking an experienced ML Engineer to drive data processing and automate model workflows. You will design and implement pipelines using Python/SQL, manage model lifecycles with Databricks and MLflow, and lead production deployment and monitoring of ML solutions in a modern cloud environment.

The role requires 8-10 years of hands-on experience with ML models, drift concepts, and deployment governance, including tools like ServiceNow, Jira, GitHub, Postman, and VS Code.

Qualifications

• 8-10 years of experience in ML engineering or related field.
• Hands-on experience with Python and SQL for data processing and automation.
• Strong experience with ML models including training and optimization.
• Experience with Databricks and MLflow for model lifecycle management.
• Experience in production deployment and monitoring of ML models.
• Knowledge of solution architecture, HLD/LLD.
• Understanding data/model drift and PSI/CSI, champion/challenger concepts.
• Experience with ServiceNow, Change request management, Agile & Jira, deployment board.
• Experience in LLM-based model training (OpenAI, LLaMA, Claude) and workflow/automation.
• Proficiency with Jira, GitHub, Postman, and Visual Studio Code for project management and version control.
• Nice to have: Azure cloud services for ML deployment.

Skills

Python

SQL

ML models

Model training & optimization

RCA & production support

Model deployment & monitoring

Data & model drift concepts

Jira & Agile

LLM training

Workflow automation

Azure cloud services

Databricks

MLflow

Tools

Databricks

MLflow

ServiceNow

Jira

GitHub

Postman

Visual Studio Code

Azure

OpenAI

LLaMA

Claude

Job description

Wipro is seeking an experienced ML Engineer to drive data processing and automate model workflows. You will design and implement pipelines using Python/SQL, manage model lifecycles with Databricks and MLflow, and lead production deployment and monitoring of ML solutions in a modern cloud environment.

The role requires 8-10 years of hands-on experience with ML models, drift concepts, and deployment governance, including tools like ServiceNow, Jira, GitHub, Postman, and VS Code.