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Salary
💰 ₹1 per year
About the role
- Implementing end-to-end GenAI powered RAG & multi-agent systems:
- Providing guidance on system architecture & components
- Building TTD system components:
- LLM Agents
- LLM Agents setup & prompt engineering / prompting strategies
- Routing
- State management
- Vector stores and more generally context providing
- Rerankers
- Validation and assessment rules
- Supporting project delivery:
- Running end-to-end initiative (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
- Analyzing and interpreting the findings
- Delivering high quality technical solution to the customer
- Drawing conclusions and recommendations- including expected benefits
Requirements
- Familiarity with theory behind various deep learning concepts
- Experience with Machine Learning (ML), especially in the area of Generative AI (LLM/LMM) with focus on Natural Language Processing (NLP) or multimodal models.
- Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment
- Fluency in Python and object programing, working knowledge of SQL and vector database
- Solid experience with Databricks is a must
- Knowledge of specific Deep Learning and GenAI libraries like: NumPy, PyTorch, HuggingFace, LangChain, LangGraph and GenAI APIs i.e. OpenAI/Gemini/Claude
- Experience in working with Azure or GCP will be a plus
- Commercial experience proven by multiple successful projects in the area of Generative AI, Natural Language Processing or Computer Vision will be a big plus
- Experience with microservice architectures
- Experience with code repositories and code assistants
- Strong business acumen
- Ability to come up with creative solutions to address customer problem
- Ability to lead juniors in project team
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Generative AINatural Language ProcessingMachine LearningDeep LearningPythonSQLDatabricksNumPyPyTorchHuggingFace
Soft Skills
business acumencreative problem solvingleadershipcommunicationanalytical thinkingproject deliveryrecommendation drawingcustomer focusteam collaborationdata interpretation