Gen AI Specialist

Job Description 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 Qualifications BE, B Tech or ME in (Computer Science / Machine Learning/ Mechanical, etc) Additional Information 5- 8 years