Title: GCP GenAI Lead
Requisition ID:
51268
City:
Bengaluru
Country/Region:
IN
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. 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.
Job Description
Role Purpose
- Gen AI, LLM, RAG, Gemini, Python, Tensorflow, Pytorch, AIML models
- GCP Cloud
- We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework
- Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models
- Design and develop prompts suiting project needs
- Stakeholder management across business and domains as required for the projects
- Evaluating base models and benchmarking performance
- Implement prompt guardrails to prevent attacks like prompt injection, jail braking and prompt leaking
- Develop, deploy and maintain auto prompt solutions
- Design and implement minimum design standards for every use case involving prompt engineering
- You will be responsible for training the machine learning and deep learning model
- Writing reusable, testable, and efficient code using Python
- Design and implementation of low-latency, high-availability, and performant applications
- Implementation of security and data protection
- Integration of data storage solutions and API Gateways
- Production change deployment and related support