Machine Learning Engineer

Place of employment Belgrade
Application due date Dec 30th 2019
Type of employment Full time

Job description:

  • Participation in research and implementation of currently most advanced machine learning and artificial intelligence models.
  • Product development for troubleshooting and optimizing client processes.
  • Visualizing the results and creating dashboards for data management.
  • Precision in writing and maintaining code.
  • Adoption of existing standards.

 

Required conditions:

  • Completed basic academic studies in mathematics, computer science or technical sciences.
  • Basic knowledge of the theoretical foundations of machine learning.
  • Experience with one or more programming languages, including Python.

 

Preferred knowledge:

  • Master in Mathematics, Informatics, Artificial Intelligence or close technical field.
  • Experience with libraries such as NumPy, Pandas, Tensorflow, LightGBM, Spark.
  • Experience with data visualization tools, such as Tableau.
  • Experience in any of the following areas:

- Time series predictions;

- Recommendation system;

- Text and speech processing;

- Pattern detection and analysis;

  

We offer candidates:

  • Competitive compensation package
  • Work on development projects in expert development teams;
  • Keeping track of global trends in technology development and use of modern tools;
  • Dynamic work in a comfortable environment;
  • Employee of the Year award, bonuses, incentives;
  • Possibility of personal and professional development;
  • Sports activities (basketball, volleyball, skiing), team building activities.

Send your CV to office@asw.eu or aswcareer@asw.eu!

ASW Inženjering is an equal opportunity employer and does not discriminate on the basis of race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status, in any of its activities or operations.

Note: By submitting a CV, the applicant agrees that the company may process his / her information for the purpose of the selection process and in accordance with the law. Only shortlisted candidates will be contacted.