Role overview
This is a hands-on engineering role where you will design, train, and deploy machine learning systems that support real-world research and decision-making workflows. You will collaborate closely with engineering and research teams to translate analytical needs into scalable AI capabilities.
What you'll work on
Design, build, and train LLM-based applications
Develop robust data-to-model pipelines for AI workflows
Fine-tune and evaluate models for performance and reliability
Prototype agentic workflows and structured automation systems
Collaborate with engineering leads to integrate AI into core product workflows
What we're looking for
Strong Python and deep learning fundamentals
Experience with transformer architectures or modern LLMs
Familiarity with NLP, generative AI, or model-serving frameworks
Ability to navigate ambiguous problem statements and find structured solutions
Comfort iterating quickly and working independently in a fast-paced environment