Data/ML Engineer Job at Sluicebox, Remote

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  • Sluicebox
  • Remote

Job Description

Location: Austria (Remote) | Team: Engineering

SluiceboxAI is building scalable, automation-driven sustainability intelligence for manufacturers. Our platform helps companies navigate compliance, reduce emissions, and drive transparency with automated Life Cycle Assessments (LCA). We’re a fast-moving startup where engineers play a central role in defining solutions, not just building features.

The Role

We’re looking for a strong ML/Data Engineer who can build and scale high-impact data and machine learning solutions. The ideal candidate is not just technical but has a product mindset, curiosity, and the ability to navigate ambiguity. This is an opportunity to own solutions end-to-end, work closely with product and customers, and help shape how we solve complex industry problems through data and AI.

What You’ll Do

  • Build scalable data pipelines, ETL/ELT systems, and model deployment pipelines.

  • Own the design, development, and optimization of ML workflows and databases.

  • Work across the stack—primarily back-end and data engineering, with occasional front-end contributions when needed.

  • Collaborate with product, engineering, and customers to deeply understand pain points and drive solution design.

  • Implement automation, data validation, model evaluation, and continuous improvement systems.

  • (Optional) Explore cutting-edge ML techniques for document parsing, carbon estimation, and system optimization.

Why Join Us?

  • Be a builder. Work directly with leadership to define solutions, not just implement them.

  • Own your work. Build impactful solutions that directly help customers and the planet.

  • Move fast. Minimal red tape—you’ll see your impact quickly.

  • Grow with us. Help shape our technical foundation and future as we scale.

If you thrive in startup environments, love solving hard problems, and want to help build something meaningful , we’d love to hear from you!

The position is remote, however candidates need to be based (or relocate to) in Austria.

We are accepting Candidates EU-Wide and are providing relocation support.

What We’re Looking For

Must-Haves:

  • Strong Python experience, particularly in data engineering and/or ML workflows.

  • Experience building and scaling ETL/ELT pipelines and working with relational databases (PostgreSQL preferred).

  • Strong understanding of model training, deployment, and monitoring practices.

  • Product thinking—ability to define solutions, not just execute tickets.

  • Comfortable with ambiguity, startup pace, and fast problem-solving.

  • Candidate has to be located in Austria with full-time working rights

Nice-to-Haves:

  • Experience with MLops, vector databases, embeddings, or related fields.

  • Exposure to AI/ML model serving (e.g., using FastAPI, TorchServe, TensorFlow Serving).

  • Previous leadership or ownership of high-impact data or ML projects.

  • Experience with sustainability, LCA, or environmental data (big bonus, but not required).

Job Tags

Permanent employment, Full time, Remote job, Relocation, Relocation package,

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