Roles & Responsibilities:
- Design, develop, test, and deploy machine learning models and generative AI solutions using state-of-the-art algorithms with a strong focus on large language models
- Build end-to-end AI/ML/NLP solutions including conversational AI, document understanding, and question-answering systems
- Develop and fine-tune language models (LLMs, SLMs) using frameworks like LlamaIndex, Langchain, and Autogen, with expertise in RAG, prompt engineering, and model optimization techniques
- Mine and analyze data using statistical methods to identify critical product insights and customer patterns
- Translate analytic insights into concrete, actionable recommendations for business and product improvement
- Define, deploy, and mentor best practices in machine learning, MLOps, and LLMOps across teams
- Lead projects independently, provide technical direction to team members, and champion effective techniques through development
- Partner closely with product and engineering leaders throughout the project lifecycle
- Communicate data-driven insights clearly and concisely to stakeholders at all organizational levels through effective storytelling and visualization
Experience Required:
5-8 years of experience as a Data Scientist or GenAI specialist, with 2-3 years specifically in generative AI solution development
**Must have Skills:**
- 5-8 years of experience as a Data Scientist or GenAI specialist, with 2-3 years specifically in generative AI solution development
- Proficiency in Python, TensorFlow, Keras, PyTorch, and NLP libraries (NLTK, SpaCy, Gensim)
- Hands-on experience with open-source LLMs (Llama, Gemma, Mixtral) and closed-source models (GPT, Azure OpenAI, Claude, Gemini)
- Strong understanding of vector databases (Pinecone, Qdrant) and cloud services (Azure, GCP, AWS)
- Expertise in NLP algorithms for intent recognition, entity extraction, text classification, summarization, and question answering
**Good to Have skills*
- Prior experience in Mobility or Healthcare domains
- Foundational knowledge of cloud platforms, API frameworks (Flask, FastAPI), and tools like Swagger/Postman
- Master's or PhD in Computer Science, Machine Learning, or related field from tier 1 institutions
BE, B Tech or ME in (Computer Science / Machine Learning/ Mechanical, etc)
5- 8 years