Job
- Level
- Experienced
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Vienna
- Working Model
- Full Remote, Onsite
AI Summary
In this role, you will develop scalable data pipelines and ML workflows, work on ETL/ELT systems, and implement automation and model evaluation. You'll use Python and oversee projects for document processing and carbon estimation.
Job Technologies
Your role in the team
- 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.
- Explore cutting-edge ML techniques for document parsing, carbon estimation, and system optimization.
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Our expectations of you
Qualifications
- Strong understanding of model training, deployment, and monitoring practices.
- Product thinking - the 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.
- 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
- Starke Python-Erfahrung, insbesondere im Bereich Data Engineering und/oder ML-Workflows.
- Experience building and scaling ETL / ELT pipelines and working with relational databases (PostgreSQL preferred).
- Experience with MLops, vector databases, embeddings, or related fields.
- Experience with sustainability, LCA, or environmental data (big bonus, but not required).
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Job Locations
Location Vienna
Austria
Topics that you deal with on the job
This is your employer
Sluicebox AI
Sluicebox AI is a dynamic startup focused on applying AI to enhance lifecycle assessments in the electronics industry. It significantly reduces manual processes and increases accuracy.
Description
- Company Type
- Startup
- Working Model
- Full Remote, Onsite
- Industry
- Electronics, Automatization
Data / ML Engineer
- Location
- Vienna
- Working Model
- Full Remote, Onsite
