Data Scientist Generative AI

We are looking for a passionate Senior Data Scientist Generative AI who thrives at the intersection of AI research & real-world applications. This role is ideal for someone whos eager to build, experiment & scale LLM-powered solutions in enterprise environments. This role blends hands-on Problem solving, Research, Engineering & collaboration across a multidisciplinary team, driving innovation across industries/domains

Responsibilities:

• Design and implement advanced solutions utilizing Large Language Models (LLMs).
• Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions.
• Conduct research and stay informed about the latest developments in generative AI and LLMs.
• Develop and maintain code libraries, tools, and frameworks to support generative AI development.
• Participate in code reviews and contribute to maintaining high code quality standards.
• Engage in the entire software development lifecycle, from design and testing to deployment and maintenance.
• Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility.
• Possess strong analytical and problem-solving skills.
• Demonstrate excellent communication skills and the ability to work effectively in a team environment.

Primary Skills:

• Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation.

AND/OR

• Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis.

Generative AI:

• Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities.
• Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization.
• Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred.
• Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.

Must Have Skills •

• 3- 10 years of experience in Data Science - NLP, with at least 2 years in GenAI/LLMs
• Proficiency in Python, SQL & ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face)
• Hands-on experience with GenAI tools like LangChain, LlamaIndex, RAG pipelines, Prompt Engineering & vector databases (e.g., FAISS, ChromaDB)
• Strong understanding of NLP technique,s including embeddings, topic modeling, text classification, semantic search, summarization, Q&A, chatbots, etc
• Experience with cloud platforms (GCP, AWS, or Azure) and CI/CD pipelines
• Experience integrating LLMs via Azure OpenAI, Google Vertex A,I or AWS Bedrock
• Ability to work independently & drive projects end-to-end from development to production
• Strong problem-solving, data storytelling & communication skills