Data Scientist-LLM Engineer

You will be joining a fast-growing enterprise AI & data science consultancy that caters to global clients in finance, healthcare, and enterprise software sectors. Your primary responsibility as a Senior LLM Engineer will involve designing, fine-tuning, and operationalizing large language models for real-world applications using PyTorch and Hugging Face tooling. You will also be tasked with architecting and implementing RAG pipelines, building scalable inference services and APIs, collaborating with data engineers and ML scientists, and establishing engineering best practices. To excel in this role, you must have at least 4 years of experience in data science/ML engineering with a proven track record of delivering LLM-based solutions to production. Proficiency in Python programming, PyTorch, and Hugging Face Transformers is essential. Experience with RAG implementation, production deployment technologies such as Docker and Kubernetes, and cloud infrastructure (AWS/GCP/Azure) is crucial. Preferred qualifications include familiarity with orchestration frameworks like LangChain/LangGraph, ML observability, model governance, and mitigation techniques for bias. Besides technical skills, you will benefit from a hybrid working model in India, opportunities to work on cutting-edge GenAI projects, and a collaborative consultancy culture that emphasizes mentorship and career growth. If you are passionate about LLM engineering and seek end-to-end ownership of projects, Zorba Consulting India offers an equal opportunity environment where you can contribute to diverse and inclusive teams. To apply for this role, submit your resume along with a brief overview of a recent LLM project you led, showcasing your expertise in models, infrastructure, and outcomes.,