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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

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