Wipro- Gen AI engineer
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.
Gen AI Engineer
Experience- 4 to 6years
Mandatory Skills Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch
Preferred Skills GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox,
Job Description / Roles & Responsibilities (in Detail) “• 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 ”