Sr. Data Scientist/ 4+ years/ Pune - Hybrid

We are seeking a highly skilled Senior Data Scientist with expertise in Generative AI (GenAI), Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP). The ideal candidate will have hands-on experience of 4+ years working with Large Language Models (LLMs), Transformer architectures (BERT, GPT, LLaMA, etc.), Computer Vision, and Reinforcement Learning. You will play a critical role in building, fine-tuning, deploying, and optimizing state-of-the-art AI/ML solutions for real-world applications.

Key Responsibilities

• Design, develop, and deploy advanced AI/ML models, including LLMs, NLP pipelines, CV models, and RL algorithms.
• Research, prototype, and implement solutions using transformer-based architectures (BERT, GPT, LLaMA, etc.).
• Apply prompt engineering, retrieval-augmented generation (RAG), and fine-tuning/transfer learning techniques.
• Work with vector databases (Pinecone, Weaviate, FAISS, Milvus) for scalable knowledge retrieval.
• Collaborate with engineering teams to integrate AI models into production using MLOps frameworks (MLflow, Kubeflow).
• Deploy models on cloud platforms like AWS SageMaker, GCP Vertex AI, and Azure ML.
• Explore and leverage APIs/frameworks from Hugging Face, LangChain, LlamaIndex, OpenAI, Anthropic, Cohere, etc.
• Build pipelines for data preprocessing, model training, evaluation, and monitoring.
• Stay updated with the latest GenAI, ML, and DL research trends and bring innovative ideas to solve business challenges.

Required Skills & Qualifications

• Programming & Data: Python, R, SQL
• ML/DL Frameworks: PyTorch, TensorFlow, Keras, Scikit-learn, XGBoost, LightGBM
• GenAI/NLP Tools: Hugging Face Transformers, LangChain, LlamaIndex
• Vector Databases: Pinecone, Weaviate, FAISS, Milvus
• MLOps & Deployment: MLflow, Kubeflow, AWS SageMaker, GCP Vertex AI, Azure ML
• AI/ML Concepts: Generative AI, NLP, LLMs, Computer Vision, Reinforcement Learning, RAG, Prompt Engineering
• Strong problem-solving, research, and analytical skills.
• Ability to work in cross-functional teams and communicate complex technical concepts effectively.

Nice to Have

• Experience in fine-tuning domain-specific LLMs.
• Knowledge of multi-modal models (text, image, audio).
• Contributions to open-source AI/ML projects.
• Published research papers or patents in AI/ML/GenAI domain.

Job Type: Full-time

Pay: ₹800,000.00 - ₹1,500,000.00 per year

Work Location: In person