Machine Learning Specialist
Wipro
- Location
- St Louis, USA-MO, USA, 63103<br/>
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 906 approvals (FY2023)
- Posted
- Aug 18, 2026
Skills
About this role
Job Description
Start applying with LinkedIn
Start
Please wait...
Job Title
Machine Learning Specialist
City
St Louis
State/Province
Missouri
Posting Start Date
8/18/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description
Core Technical Skills • Hands-on expertise in Python and SQL for data processing and automation. • Strong experience with all types of Machine Learning models, including model training and optimization. • Knowledge on Databricks and MLflow for model lifecycle management. • Analyze and create RCA as a part of production support. • Proven track record in production deployment and monitoring of ML models. • Knowledge on Solution Architecture, HLD, LLD • Deep understanding of data and model drift, including PSI (Population Stability Index), CSI (Characteristic Stability Index), and champion/challenger model concepts. • Experienced in ServiceNow, Change request management, Agile & Jira, working on deployment board. • Experience in LLM-based model training (e.g., OpenAI, LLaMA, Claude). Workflow & Automation • Design and manage workflows for job and pipeline development, deployment, and troubleshooting. Tools & Platforms • Practical experience with Jira, GitHub, , Postman and Visual Studio Code for project management and version control. • Good to have: Knowledge of Azure cloud services