Senior Data Scientist I
Location: Bengaluru, India
Department: Data Science
Experience: 4+ yrs
- Build, evaluate, and optimize predictive model for real-world business problems
- Apply advanced statistical and analytical techniques on large-scale structured and unstructured data
- 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
- 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
- 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
- Translate business problems into analytical solutions
- Present insights and model outputs to non-technical stakeholders
- Mentor junior data scientists and guide best practices
- 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
- 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
- Strong analytical and problem-solving mindset
- Ability to work in ambiguous, fast-paced environments
- Excellent communication and stakeholder management skills
- Ownership mindset with focus on delivery and impact
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