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)
Positive 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 contemporary 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 prospects 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 bu

📌 Llm Model Developer Pune (India)
🏢 Accenture
📍 India