AI/ML SME – AI/Machine Learning

Qualifications

• 7+ years of industry experience in software engineering, data science, or machine learning, including technical leadership experience.
• 2+ years of hands‑on experience building and delivering Generative AI/LLM solutions, preferably production applications.
• Proven experience architecting and operating large‑scale production software, AI/ML systems, and/or data platforms.
• Strong understanding of LLMs, embeddings, retrieval‑augmented generation (RAG), prompt engineering, context management, and modern GenAI architectures.
• Hands‑on experience building reasoning models via post‑training techniques — supervised fine‑tuning (SFT) on chain‑of‑thought/reasoning traces and reinforcement learning (RL) methods (e.g., RLHF, RLVR, PPO, GRPO, DPO) — including reward/verifier design and evaluating gains in multi‑step reasoning.
• Strong Python skills and experience with modern AI/ML and GenAI frameworks and tooling.
• Experience with cloud‑native architectures and production deployment of scalable applications.
• Strong understanding of GenAI evaluation, testing, monitoring, security, and responsible AI practices.
• Ability to translate business requirements into technical solutions and communicate complex technical decisions to both engineering and executive audiences.
• Bachelor’s degree in Computer Science, Software Engineering, Machine Learning, Data Science, or a related technical field.