LLM Model Developer

Project Role : LLM Model Developer Project Role Description : Fine-tunes Large Language Models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts. Must have skills : Large Language Models (LLMs) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a GenAI Engineer, you will design, develop, and deploy AI solutions that leverage both traditional machine learning and modern generative AI techniques. You will combine foundational ML engineering fundamentals with a growing expertise in large language models (LLMs), retrieval-augmented generation (RAG), and orchestration frameworks to build scalable, production-ready AI applications. This role bridges applied machine learning with cutting-edge GenAI innovation, while offering opportunities for growth and learning. Roles & Responsibilities: - Design and implement applications powered by LLMs, multimodal models, and generative architectures. - Fine-tune foundation models (e.g., with LoRA, PEFT) for domain-specific use cases. - Build retrieval-augmented generation pipelines using vector databases (FAISS, Pinecone, Weaviate). - Integrate APIs and frameworks (LangChain, LlamaIndex, Semantic Kernel) into production systems. - Develop and deploy predictive ML models using frameworks such as PyTorch, TensorFlow, and Scikit-learn. - Build and maintain scalable data pipelines in collaboration with data engineers. - Apply DevOps/MLOps practices for automation, monitoring, CI/CD, and model retraining. - Optimize inf rence performance (quantization, distillation, GPU/accelerator usage). - Design evaluation frameworks for both predictive and generative models (accuracy, fairness, hallucination detection, grounding). - Implement monitoring systems for live models to ensure reliability and continuous improvement. - Work with cross-functional teams to align AI solutions with business goals and technical requirements. - Communicate complex ML/GenAI concepts effectively to non-technical stakeholders. Professional & Technical Skills: - AWS, Foundation Models, Evaluation, LLM Prompting, RAG, Vectordatabases, Python, Agentic, ML frameworks (LangChain, PyTorch, Scikit-learn), DevOps tools (Docker, Kubernetes) - Strong analytical skills and a proactive approach to problem-solving - Ability to work independently and as part of a collaborative team. Able to coach junior team - Strong analytical skills and a proactive approach to problem-solving - Ability to work independently and as part of a collaborative team. Able to coach junior team members. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Pune office. - A 15 years full time education is required. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.