Role & responsibilities

Masters degree in computer science, Data Science, Statistics, or related field Experience Required (Min Max year)
- 6-8 years of experience in AI/ML including 2-3 years of experience in GenAI technology.
- Strong expertise in LLM, deep learning, machine learning algorithms (e.g., supervised learning, unsupervised learning, reinforcement learning) and statistical modelling.
- Proficiency in programming languages such as Python
- Knowledge of prompt engineering techniques and best practices.
- Hands-on Experience with building and deploying Chatbot AI assistants using the RAG framework.
- Familiarity with vector databases (e.g., Pinecone, Chroma DB) for RAG implementation.
- Valuable working knowledge of AI Agents and Agentic AI framework
- Experience with MCP, Multiagent Frameworks.




- Experience with Memory Management and Context Engineering for Conversational Agents
- Familiarity in developing and deploying E2E AI solutions in cloud platforms (AWS)
- Should be proficient in using AI enabled coding tools e.g. github copilot, etc.
- Familiarity with version control systems (e.g., Git, Gitlab).
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration abilities.
- Ability to work in an Agile development environment
- A strong desire to learn and contribute to a fast-paced, innovative environment.

Preferred candidate profile
- Experience with GenAI, Data Science, Python, AWS, JIRA, Agile
- Passion for the environment
- Self-learner

📌 Lead Data Scientist (Bengaluru)
🏢 Quest Global
📍 Bengaluru