ML Engineer


The success of every project, business or endeavor is dependent on the people behind it, their strength, motivation
and passion. In our team, young talents meet experienced minds – competent and always up-to-date. We are not
searching just for experience and skills, but for someone with heart, soul and passion as well. We are not the best
in the world yet but we are going to be!

KENDAXA is a middle-sized company with challenging vision and enthusiactic team. Our ambition is to help other
businesses to turn the data to their advantage – we stand for AI-based data aggregation and data profiling as well
as digitisation and automation of processes. We’ve been developing great products that could be seamlessly
integrated into core corporate systems. Now we are searching for a new colleague to our industry-oriented team that
will help us to reach our mission.

Day-to-day activites:
  • coding, testing and debugging
  • creating, modifying and applying machine learning algorithms in the innovative ways on the industrial topics
  • exploring datasets, design data pipelines, create visualizations and create end-to-end ML solutions
  • providing valuable data insights to address the customer business challenges using visualization
  • communicating with project stakeholders (with technical and non-technical) and explaining them selected approach
  • optimalization, scraping, vizualization
  • influencing the direction of KENDAXA product development
Requirements (must-have):
  • Fluent in Python and SQL + experience with Pandas, NumPy, Sklearn, Matplotlib/Seaborn, Git
  • Algorithms and applied statistics knowledge, ability to design and write scalable algorithms for various complex
  • Machine Learning Knowledge of a computational framework such as TensorFLow, Pytorch
  • Experience with Keras or similar high level APIs
  • Knowledge of basic optimization techniques and gradient descent and back-propagation
  • Knowledge of commonly used loss functions/metrics and their properties (RMSE, MAE, MAPE, crossentropy, etc.)
  • Visualization skills
  • Experience with data structures
  • Intermediate knowledge of graph theory
  • Experience with docker
  • Fluent communication in English (written + spoken)
  • Highly appreciated is hands-on experience from the industry, knowledge of ERP or PLM systems

Nice to have (not necassary):

  • Linux administration skills
  • Knowledge of C/C++ and cython
  • Knowledge of Rust, R and Java
  • Experiences with Kubernetes
  • Experience with Julia
  • CI/CD v Atlassian stack (Bamboo, Bitbucket)
  • German language
In return, we offer:
  • Friendly and flexible working culture with unlimited homeoffice and sliding working hours
  • Table football & table tennis at the workspace in the centre of Prague
  • 28 – 30 days of vacation (depending on the length of employment)
  • Possibility of self-education and self-development
  • Teambuildings, grilling lunches on the terrace on a regular basis
  • Support in your personal development through learning programs, courses and conferences
  • Many other benefits

What you will love with us

Innovative mind
Flexibility in working culture
Friendly and motivated team
System of benefits
Educational system

If you are interested in the position, send us your application documents to hr‑ .