Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Vienna
- Working Model
- Onsite
Job Technologies
Your role in the team
- Collaborate with our machine learning and backend engineers to design and manage scalable processing pipelines in productive environments.
- Implement robust processing flows and I/O-efficient data structures, powering use cases such as road surface analysis, sign detection and localization on large volumes of point cloud and imagery data.
- Design and manage relevant database schemes in close collaboration with backend engineering.
- Create and maintain comprehensive documentation of the processing pipelines, database schemes, configuration and software architecture.
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Our expectations of you
Qualifications
- Passionate about everything related to AI, Machine Learning and Computer Vision
- Python programming skills, emphasis on data engineering and distributed processing (e.g. Flask, Postgres, SQLalchemy, Airflow)
- Proficiency in working with databases and data storage solutions
- Familiarity with cloud environments (AWS, Gcloud, Azure)
- Used to mature workflows in software development (Git, issue management, documentation, unit testing, CI/CD)
- Fluent in English both spoken and in written language.
- Valid work permit for Austria
Experience
- 3+ years of work experience in data-driven environments
- Experience with Kubernetes and Docker (Helm, Terraform, Amazon Kubernetes Service)
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Benefits
Work-Life-Integration
- ๐Time for External Voluntary Work
- ๐บNo Dresscode
- ๐ โโ๏ธNo All-In Contracts
- ๐ Home Office
- โฐFlexible Working Hours
- โธEducational Leave/Sabbatical
- ๐Excellent Traffic Connections
Health, Fitness & Fun
Food & Drink
More net
Job Locations
This is your employer
EnliteAI GmbH
Wien
enliteAI is a comprehensive service provider for Artificial Intelligence, from AI strategy consulting to prototype development and project implementation. We are based in Vienna and work on a variety of AI-based systems for different industries, applying the latest neural network architectures as well as more traditional machine learning methods.
Description
- Founding year
- 2017
- Company Type
- Startup
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication