Data Scientist(LLM/Gen AI Engineer)

Job Description

We are seeking a highly skilled Data Scientist (LLM/Gen AI Engineer) to join our AI and Machine Learning team. In this role, you will focus on the research, development, and deployment of Large Language Models (LLMs) and Generative AI solutions to solve real-world problems and enhance intelligent applications. You will work closely with cross-functional teams including data scientists, machine learning engineers, and product managers to build scalable, production-ready Gen AI systems. Key Responsibilities: Research, fine-tune, and deploy Large Language Models (LLMs) such as GPT, LLaMA, Mistral, or similar. Design and implement end-to-end Gen AI pipelines for tasks such as summarization, question answering, code generation, and retrieval-augmented generation (RAG). Preprocess and curate large datasets for training and evaluation of language models. Optimize models for efficiency, accuracy, and scalability using techniques like quantization, distillation, and model pruning. Integrate LLM-based solutions with existing products, APIs, and user-facing applications. Evaluate model performance using metrics like BLEU, ROUGE, perplexity, and human evaluation. Stay up-to-date with the latest trends in AI research, LLM architecture, and Gen AI tools. Collaborate with engineers to scale models in production and monitor model drift or degradation. Document experiments, model behaviors, and results to guide reproducibility and future development. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related field. 2–5+ years of experience working as a Data Scientist, ML Engineer, or AI Researcher. Hands-on experience with Large Language Models (OpenAI GPT, PaLM, Claude, LLaMA, Mistral, etc.). Proficient in Python and popular ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers, LangChain). Deep understanding of NLP, tokenization, embeddings, transformers, and attention mechanisms. Familiarity with prompt engineering and fine-tuning techniques (LoRA, PEFT, etc.). Experience deploying models using cloud platforms (AWS, GCP, Azure) and container tools (Docker, Kubernetes). Strong analytical, problem-solving, and communication skills. Job Types: Full-time, Permanent Pay: Up to ₹30,000.00 per month Benefits: Flexible schedule Schedule: Day shift Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Mention your current location Work Location: In person