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We are looking for a Senior Data Scientist to lead the design, development, and deployment of advanced AI solutions across business domains. This role requires deep expertise in Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP), along with strong problem-solving and stakeholder management skills. You will work closely with cross-functional teams including engineering, product, and business stakeholders to build scalable AI-driven solutions that create measurable impact.
Job Responsibility:
AI / Data Science Solution Development: Build, evaluate, and optimize predictive model for real-world business problems
Apply advanced statistical and analytical techniques on large-scale structured and unstructured data
Generative AI & LLM Applications: Develop and deploy LLM-powered applications using modern frameworks
Design and implement RAG pipelines integrating vector databases and knowledge retrieval systems
Fine-tune, prompt-engineer, and evaluate LLMs for domain-specific use cases
Build enterprise-grade GenAI use cases such as chatbots, summarization engines, and document intelligence systems
NLP & Text Analytics: Develop NLP pipelines for tasks like classification, entity recognition, sentiment analysis, and topic modeling
Work with multilingual datasets (Indian languages preferred)
Optimize text processing workflows for scalability and performance
Model Deployment & Engineering: Collaborate with engineering teams to productionize models using APIs and microservices
Work with cloud platforms (AWS / GCP / Azure) for scalable deployments
Ensure model monitoring, retraining, and lifecycle management
Stakeholder Collaboration: Translate business problems into analytical solutions
Present insights and model outputs to non-technical stakeholders
Mentor junior data scientists and guide best practices
Requirements:
Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or related field (PhD is a plus)
4+ years of experience in data science, machine learning, or AI roles
Strong programming skills in Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
Hands-on experience with LLMs, GenAI frameworks (LangChain, LlamaIndex, etc.)
Experience in building RAG-based systems and vector search (FAISS, Pinecone, etc.)
Solid understanding of NLP techniques and transformer architectures
Experience with SQL and working with large datasets
Nice to have:
Experience with fine-tuning open-source LLMs (LLaMA, Mistral, etc.)
Exposure to prompt engineering, evaluation frameworks, and guardrails
Knowledge of MLOps practices (CI/CD, model versioning, monitoring)
Exposure to Indian market data or multilingual AI solutions