Gen AI Specialist

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region. 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 visualizationExperience 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