Machine Learning Data Engineer
vor 3 Wochen
We are working with an incredibly exciting early stage startup that is tackling one of the biggest environmental challenges of our time: making industrial processes more sustainable.
Our client is developing a cutting-edge platform that enables engineers and researchers to explore more efficient and environmentally friendly alternatives in manufacturing starting with one of the world's most emissions-intensive industries.
About the RoleAs a Machine Learning Data Engineer, you will play a critical role in developing the ML infrastructure that powers this sustainability-driven platform. You'll work on cutting-edge challenges in data extraction, classification, and prediction—leveraging advanced LLM strategies and scalable data pipelines.
What You'll DoYou'll be at the heart of building a smarter, more sustainable way to design manufacturing processes. Your work will directly impact how engineers and scientists make decisions, helping them choose better alternatives without the usual complexity.
- Build smart LLM-powered tools to gather, structure, and analyze massive datasets from a variety of sources.
- Design scalable data pipelines using Ray.io, ensuring clean, structured, and efficient data processing.
- Experiment with LLM prompting strategies to extract, standardize, and classify complex information.
- Advance our bill of materials prediction model, helping engineers make smarter material choices.
- Improve product search and matching algorithms using cutting-edge embedding and classification techniques.
- Take ownership of AWS integrations, ensuring everything runs smoothly and follows best practices.
You'll have a lot of freedom in how you approach challenges and will be trusted to find the best way forward.
Who You AreThey're looking for someone who's more than just technical expertise, you're someone who thrives in a fast-moving, impact-driven environment.
- You take initiative. Given a problem, you don't wait for step-by-step instructions—you figure out what needs to be done and run with it.
- You care about efficiency. You know that speed matters, but so does building the right thing in the right way.
- You think like an owner. You take responsibility for your work, your team, and the broader mission.
- You're adaptable. You're comfortable with ambiguity and thrive in environments where things evolve quickly.
- You're customer-focused. You don't just build for the sake of it—you want to create something that truly makes a difference for end users.
If you're excited by the opportunity to apply machine learning to sustainability and want to work with a small but ambitious, mission-driven team apply now
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