AI/Machine Learning Subject Matter Expert III

Responsibilities

• Building and delivering Generative AI/LLM solutions, preferably production applications.
• Architecting and operating large-scale production software, AI/ML systems, and/or data platforms.
• 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.
• Translating business requirements into technical solutions and communicating complex technical decisions to both engineering and executive audiences.

Requirements

• 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.

Skills

• Strong understanding of LLMs, embeddings, RAG, prompt engineering, context management, and modern GenAI architectures.
• 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.