Key skills
ETLAIMachine LearningMLDeep LearningNLPGenerative AILLMRAGAgentic
About this role
Role Overview
- Lead medium sized ETL projects.
- Oversee ETL standards and documentation.
- Mentor junior team members.
- Collaborate with other departments.
Requirements
- Graduate in Computer Science, Data Science, Information Technology, or a related field.
- 3-4 years of experience in ETL or data management.
Tech Stack
- ETL
Benefits
- Design, develop, and deploy production-ready AI/ML and Generative AI solutions
- Strong foundation in data science, machine learning, neural networks, and deep learning with end-to-end model lifecycle experience
- Deep understanding of LLMs, transformers, and NLP for building modern AI solutions
- Hands-on experience in advanced RAG, chunking strategies, embeddings, and vector databases
- 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
- Experience in building full-stack AI