About the job
Job Title: Sr. Data scientist-Gen AI Location: Bangalore Experience: 4+ years No. of openings: 2 About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation. You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: • Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment. • Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. • Develop and optimize ML models, leveraging classical and deep learning techniques. • Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate. • Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases. • Develop data pipelines for training, validation, and inference. • Work on scalable AI solutions, ensuring performance and cost efficiency in deployment. • Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: • 4+ years of experience in AI/ML development. • Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. • Hands-on experience with LLMs, GenAI, and RAG architectures. • Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). • Knowledge of ML algorithms, deep learning architectures, and NLP techniques. • Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment. • Experience with LangChain or LlamaIndex for LLM applications is a plus. • Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits: • Health and Wellness: Healthcare policy covering your family and parents. • Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) • Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. • Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. • Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions. To find out more about us, head over to our Website and LinkedIn.
Requirements
- Generative AI
- LLMs
- Machine Learning
- Python
- TensorFlow
- RAG
Preferred Technologies
- Generative AI
- LLMs
- Machine Learning
- Python
- TensorFlow
- RAG
Benefits
- Health and Wellness: Healthcare policy covering your family and parents.
- Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore)
- Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities.
- Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.
- Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.
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