Job
- Level
- Experienced
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 56.000 € Gross/Year
- Location
- Graz
- Working Model
- Full Remote, Onsite
Job Summary
In this role, you will build efficient ML pipelines for processing geospatial data, design resilient systems for GPU-accelerated inference, and tackle challenges in memory optimization and resource allocation.
Job Technologies
Your role in the team
- Build and optimize ML orchestration pipelines that coordinate model training and inference across distributed worker pools.
- Design resilient, high-throughput services that process terabytes of geospatial imagery through GPU-accelerated inference.
- Develop the APIs and abstractions that allow customers to chain, filter, and compose AI models for complex detection workflows.
- Collaborate with ML Researchers to put new models in production.
- Tackle memory optimization, GPU autoscaling, and resource scheduling challenges unique to large-scale imagery processing.
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Our expectations of you
Qualifications
- Vertrautheit mit async-Verarbeitungsmustern, Task-Queues und Worker-Pool-Architekturen.
- Solid understanding of PostgreSQL and data modeling.
- Strong software engineering fundamentals: testing, CI/CD, observability, reliability.
- You're outcome-oriented and comfortable navigating ambiguity to deliver results.
- Vertrautheit mit GPU-Workloads und den besonderen Herausforderungen des maschinellen Lernens in großem Maßstab.
- Background deploying systems in regulated or air-gapped environments.
Experience
- Strong practical knowledge of Python with experience building production systems.
- Experience designing and operating distributed systems or data pipelines.
- Ideally: Experience with ML infrastructure, model serving, or training pipelines.
- Hands-on experience with Kubernetes in production environments.
- Experience with geospatial data formats (GeoTIFF, COG, STAC) or imagery processing.
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Benefits
Work-Life-Integration
Job Locations
Topics that you deal with on the job
This is your employer
Blackshark.ai GmbH
Graz
Our technology is helping to bring the digital and physical world together be it for purpose of simulation, social interaction, gaming, or learning – Blackshark.ai is the 3D canvas for the digital world, acting as crucial enabling technology for the metaverse.
Description
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Software Engineer Machine Learning
- Salary
- from 56.000 € Gross/Year
- Location
- Graz
- Working Model
- Full Remote, Onsite
- Diversity
- Open for all genders
