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
Role Purpose
The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists.
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Mandatory Skills
Python, Azure MlOps, CI/CD pipelines
Good To Have
Kubernetes or docker, Azure DevOps
- Role Overview:
In this position, the associate is responsible for monitoring machine learning models currently in production and regularly re-training them to ensure they continue delivering accurate results. A significant number of these models are configured for frequent training cycles, such as weekly or daily.
Key Areas of Focus:
1. Model Monitoring and Alerts
o Implement systems to track model performance and reliability.
o Set up alerts for scenarios such as pipeline failures or instances of data drift.
2. Model Productionization
o Collaborate with data scientists to transform models created in tools like TNEI notebooks into production-ready solutions.
o Ensure seamless integration and scalability in operational environments.
Mandatory Skills:
• Proficiency in Azure Machine Learning Services and MLOps practices.
• Strong programming skills in Python.
• Experience with time-series forecasting, EDA, and model optimization.
• Knowledge of CI/CD pipelines, Azure DevOps, and monitoring tools.
• Familiarity with data drift handling and alert mechanisms.
• Hands-on experience with containerization tools (e.g., Docker) and Kubernetes for orchestration.
Deliver
NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance
Mandatory Skills: MS Azure MLOPs.
Experience: 5-8 Years.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.
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