AI/ML Engineer at Global Consumer Healthtech Platform

You will join a specialized AI Platform team to build and scale shared infrastructure enabling safe, efficient AI integration across a massive global product. The role involves fine-tuning large language models, optimizing MLOps pipelines, and developing evaluation frameworks to ensure medical safety and high performance for over 70 million monthly users worldwide.

Global consumer healthtech platform

• Develop, fine-tune, and optimize proprietary and open-source large language models for domain-specific health applications.
• Design and maintain automated pipelines for model training, evaluation, and deployment across diverse AI workloads.
• Build LLM evaluation frameworks to measure model safety, medical accuracy, and overall performance at scale.

• Has 4+ years of professional experience building and deploying production-grade AI/ML systems within a cloud environment.
• Possesses deep engineering experience with LLM infrastructure, including fine-tuning techniques like LoRA and SFT.
• Is proficient in Python and modern ML tools such as Databricks, MLflow, and experiment tracking systems.

• Work on a product with over 500 million downloads, directly impacting the health and wellness of a massive global user base.
• Join a unicorn-valuation organization backed by top-tier global private equity and venture capital firms.
• Lead the transition into a privacy-first, AI-powered future by building the central infrastructure that powers every product team's AI initiatives.