Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Permanent employment
- Salary
- from 80.080 € Gross/Year
- Location
- Salzburg
- Working Model
- Hybrid, Onsite
Job Technologies
Your role in the team
- Contribute to solving computer vision problems using the latest deep learning models
- Participate in and challenge technical concepts and modeling approaches
- Implementation of ETL pipelines for obtaining and processing image data
- Optimizing ML models for hardware limitations
- Deployment of software and ML components in the cloud
- In addition to research: implementation of customer projects in the agile development team
Technologies that we use and that we would be happy to teach you:
- Python (pandas, scikit-learn, keras, tensor-flow)
- Visplore, mlFlow,
- GCP & Azure Infrastructure & Services
- Elasticsearch and various SQL DBs
- Kubernetes & Docker is an advantage, not a must!
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Our expectations of you
Education
- Completed training (HTL/University/FH) or other equivalent training
Qualifications
- Motivation and interest in working with state of the art frameworks/technologies
- Ability to quickly grasp complex issues and communicate easily
- Strong problem-solving and critical thinking skills
Experience
- At least 2 years of professional experience in the field of data engineering and computer vision
- Experience in dealing with data structures and data compression
- Experience in applying machine learning techniques and statistical analysis
- Experience with cloud-based MLOps/DevOps
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Benefits
Health, Fitness & Fun
Work-Life-Integration
More net
Job Locations
This is your employer
cognify KG
Salzburg
Cognify's partner companies help develop custom data science solutions that optimise digital business processes for clients. The focus is on integrating and using existing data, combined with artificial intelligence or machine learning algorithms, as well as analytical methods to increase relevant metrics. This allows automated processes to be gradually intelligent controlled and human intervention reduced.
Description
- Company Size
- 1-49 Employees
- Founding year
- 2017
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication