LLM Model Developer

Project Role :

Project Role Description :

Must have skills :

Good to have skills :

Minimum 12 Year(s) Of Experience Is Required

Educational Qualification :

• Lead the design and implementation of applications powered by LLMs, multimodal models, and generative architectures.
• Fine-tune foundation models (e.g., with LoRA, PEFT) for domain-specific use cases.
• Architect and optimize retrieval-augmented generation pipelines using vector databases (eg FAISS, Pinecone, Weaviate).
• Guide integration of 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.
• Implement and advocate for best MLOps practices related to automation, monitoring, CI/CD, and model retraining.
• Design and refine evaluation frameworks for both predictive and generative models, focusing on accuracy, fairness, hallucination detection, and grounding.
• Establish and continually improve monitoring systems for live models to ensure reliability and performance.
• Work with cross-functional teams to align AI solutions with business goals and technical requirements.
• Communicate advanced ML/GenAI concepts effectively to non-technical stakeholders for strategic alignment. Professional & Technical Skills: - -AWS Sagemaker, Foundation Models, Evaluation, LLM Prompting, RAG, Vector databases, Python, Agentic, ML frameworks (e.g. LangChain, PyTorch, Scikit-learn), Architecture Design, Security Concepts. -Working experience in Bedrock, Foundation Models, Evaluation, LLM Prompting, RAG, Python, Agentic AI. -Extensive experience (15+ yrs) with 3 4 yrs hands on experience in Gen AI.