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