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Senior Data Scientist – Generative AI
Role Overview:
We’re 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 who’s eager to build, experiment & scale LLM-powered solutions in enterprise environments. This role blends hands-on Problem solving, Research, Engineering & collaboration across multidisciplinary team driving innovation across industries/domains.

Job Description:
Design and implement advanced GenAI solutions using LLMs, Transformers & Prompt engineering Own the full lifecycle: from problem scoping & model design to deployment & post-production optimization Build & maintain reusable frameworks, pipelines,



& prompt libraries Participate in code reviews & contribute to maintaining high code quality standards Conduct research & experimentation to evaluate new techniques in GenAI & NLP space Present insights & recommendations to clients & internal stakeholders through compelling storytelling & visualizations Mentor junior team members & contribute to knowledge-sharing initiatives Must Have Skills:
5–10 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 techniques 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 AI or AWS Bedrock Ability to work independently & drive projects end-to-end from development to production Robust problem-solving, data storytelling & communication skills
Preferred Skills:
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📌 Senior Data Scientist – Generative AI (Gurugram)
🏢 Fractal
📍 Gurugram