Sr. Data Scientist/ 4+ years/ Pune

6 days ago

Pune, Maharashtra, India SAPLING INFOSYSTEMS Full time ₹ 8,00,000 - ₹ 12,00,000 per year

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 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, ₹1,200,000.00 per year

Work Location: In person

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