Required Skills & Qualifications
- 10+ years of experience in AI/ML, with at least 3+ years focused on Generative AI architectures.
- Demonstrated hands-on projects with LLMs, fine-tuning, RAG implementation, or agentic workflows.
- Portfolio of real-world deployments, POCs, or production systems.
Technical Expertise
- Strong foundation in LLM architecture, transformer models, model fine-tuning, and model evaluation techniques.
- Deep, hands-on experience designing RAG, agentic, and LLM-orchestration pipelines.
- Proficiency in Python and GenAI frameworks; ability to write, review, and optimize production-grade code.
- Solid understanding of computer vision, NLP, and multimodal systems is a plus—but must be secondary to GenAI expertise.
Architecture & Cloud
- Proven ability to design scalable, secure cloud architectures using AWS/Azure/Google Cloud Platform.
- Experience with API design, microservices, event-driven workflows, and distributed systems.
- Clear understanding of data ingestion, feature engineering, vector databases, and embeddings lifecycle.
Industry:
AI & Machine Learning