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-powe'red 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
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 (eg, PyTorch, TensorFlow, Hugging Face)
Hands-on experience with GenAI tools like LangChain, LlamaIndex, RAG pipelines, Prompt Engineering & vector databases (eg, 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
Strong problem-solving, data storytelling & communication skills
Preferred Skills:
Experience in domains like BFSI, Retail, CPG, FMCG, Healthcare, etc
Exposure to MLOps tools like MLflow, Kubeflow, or Vertex AI
Publications or contributions to open-source GenAI projects
Job Classification
Industry: Management ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full time