Design, develop, and deploy production-ready AI/ML and Generative AI solutions
Build and optimize LLM-powered applications, including chatbots, copilots, and knowledge assistants
Architect and implement Advanced RAG (Retrieval-Augmented Generation) pipelines
Develop efficient chunking strategies, embedding pipelines, and vector search mechanisms
Implement agentic workflows using modern frameworks (multi-agent orchestration, tool usage, reasoning chains)
Fine-tune, evaluate, and optimize models for performance, latency, and cost
Work with structured and unstructured data pipelines for AI use cases
Collaborate with data engineers, product teams, and DevOps to productionize solutions

Strong foundation in data science, machine learning, neural networks, and deep learning with end-to-end model lifecycle experience
Proficient in feature engineering, model selection, and evaluation techniques
Deep understanding of LLMs, transformers, and NLP for building modern AI solutions
Hands-on experience in advanced RAG, chunking strategies, embeddings, and vector databases
Skilled in GenAI frameworks (LangChain/LlamaIndex) and agentic workflows to build end-to-end AI applications
Expertise in designing scalable AI systems with optimized model serving, real-time processing, and performance monitoring

Senior Manager

Key skills