Lead AI Engineer (PhD)

شرح موقعیت

I’m partnering with a fast-growing fintech to hire a Lead AI Engineer for a highly technical, hands-on leadership role. This isn’t a typical “AI Engineer” position. We’re looking for someone whose foundations are genuinely in AI/ML, data science and research — someone who understands the mathematics behind the models, can read cutting-edge research and turn it into working software, but who has also developed the engineering breadth to build and ship complete products. A PhD / significant academic research background in AI, Machine Learning, Computer Science or a closely related discipline is essential for this search. What you’ll be doing Lead forward-looking AI/ML research and development from 0 → 1 Build, train, validate and calibrate ML models — not simply integrate model APIs Turn new research papers and emerging techniques into working prototypes and production systems Work across foundation models, agents, causal inference, real-time ML and streaming analytics Take ideas from research through to production across models, data infrastructure, backend services and product interfaces Set the technical and architectural direction for ambitious AI initiatives Remain highly hands-on — coding, experimenting and prototyping Help build and mentor a high-performing AI/engineering team PhD / strong research background — essential Deep foundations in Machine Learning / Data Science / AI 8+ years’ experience across AI, ML and engineering with evidence of having built and shipped real ML models Strong Python and modern ML frameworks such as PyTorch / TensorFlow Experience with distributed data technologies such as Spark, Kafka, Snowflake or Databricks Ability to understand and implement ideas from academic AI/ML research Strong engineering capability across production-grade systems Experience taking AI/ML research from experimentation into scalable products Strong product mindset — you care about how what you build is actually used Comfortable operating as a senior individual contributor, not simply managing from a distance Published research, open-source AI contributions and experience within fintech would be particularly interesting. This is a rare opportunity for someone who wants to sit at the intersection of AI research, machine learning, engineering and product, with genuine ownership over what gets built. If your career started closer to models and research and expanded into engineering — rather than the other way around — I’d particularly like to hear from you.