Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.267 € Gross/Month
- Location
- Salzburg
- Working Model
- Hybrid, Onsite
Job Summary
In this position, you independently implement machine learning models focusing on time series forecasting, work on cloud data architectures, and develop stable data engineering pipelines.
Job Technologies
Your role in the team
- Operational involvement: Independent technical implementation and participation in exciting client projects.
- Modeling & ML: Design, development, and production deployment of classical machine learning solutions (focus on time-series forecasting) - from data preparation to deployment.
- Data Engineering: Collaboration on cloud data architectures and development of robust data engineering pipelines (GCP/Azure).
- Internal Development: Active participation in shaping technical concepts as well as further development of our internal ML services.
This text has been machine translated. Show original
Our expectations of you
Education
- A completed technical degree and already professional experience (Junior to Intermediate).
Qualifications
- Excellent programming skills in Python and practical experience in Data Engineering in cloud environments.
- Knowledge of statistical methods, classical modeling, and machine learning – ideally with a focus on time-series forecasting.
- Basic understanding of MLOps tooling (e.g., MLflow, Docker, Kubernetes).
- Very good knowledge of German and English.
- You always keep an eye on current technological trends and enjoy expanding your knowledge.
- You actively contribute to the conception of prototypes and enjoy developing your own solutions.
- You still understand your source code after months because it is clean, understandable, and modular.
- You think creatively, enjoy solving complex problems, and have fun implementing exciting projects.
- You have no qualms about delegating tasks to AI tools — but you also know exactly how to critically evaluate the results.
Experience
- Experience with databases and basic data architectures.
- Optional: Prior experience in the field of Computer Vision.
This text has been machine translated. Show original
What we offer
- A diverse range of tasks in a dynamic environment.
- Your personal development is important to us: conference budget, a fixed hours quota for training, and a strong partner network.
- Flexible working hours and the possibility of working from home/hybrid work.
- Best public transport connection - the annual ticket is on us! (Office shower available for cyclists!)
- Joint team events: hiking days, ski trips, cooking together, and more.
- Best hardware and software as well as ergonomic, height-adjustable desks.
- For this position, we offer a gross monthly salary starting from EUR 3,267 (full-time). The actual compensation will depend on your qualifications and experience - overpayment is possible.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Health, Fitness & Fun
More net
Topics that you deal with on the job
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
Machine Learning Engineer
- Salary
- from 3.267 € Gross/MonthNet salary converted from the gross salary in the job ad.from 2.327 € net/Month
- Location
- Salzburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
