Machine Learning Engineer

We are seeking a talented Machine Learning Engineer to join our team.
As a Machine Learning Engineer, you will be responsible for designing and implementing software solutions containing various type of machine learning models.

Our main focus is to integrate Natural Languages Processing models into our corporate applications and experiment with the business related usage of Large Languages Models. You will work closely with other developers, project managers, data scientists and stakeholders to ensure that our product meets the needs of our clients.

This is the perfect opportunity for you, if you have…

  • finished Masters ideally in Statistics, Maths, Computer Science or have up to 3 years of relevant work experience;
  • proven experience in using Python, basic knowledge of Shell script
  • familiarity with software development methods and version control tools such as Git;
  • ability to work independently and reliably in a small team;
  • proactivity and eager to learn;
  • willingness to experiment with several generative and descriptive AI use cases;
  • at least intermediate proficiency in English (both oral and written); Hungarian knowledge is an advantage for this position;

You will have an advantage in the application if you have...

  • experience with database technologies (MS SQL, PostgreSQL, MongoDB);
  • experience with deep learning models and their related python packages, such as transformers or pytorch;
  • experience in developing NLP models;
  • experience with Azure.

As part of our team, we will count on you to…

  • collaborate on the design and development of ML-based applications and its backend components;
  • help to select the most applicable solutions for a business problem;
  • write clean, efficient, and well-documented code;
  • contribute to our MLOps processes;
  • stay up-to-date with emerging trends and technologies in software development.

We’ll provide you with the opportunity to…

  • participate in diverse projects and get a hands on experiance on the most up-to-date technologies;
  • work in close-knit, cohesive teams where members help one another to achieve a common goal;
  • grow professionally and personally during your role via professional mentoring and several online and offline learning opportunities such as Coursera or in-house technology workshops and trainings;
  • have flexible working schedule with our hybrid office presence policy and respect for your work/life balance;
  • get a competitve salary package with fringe benefits and health insurance (Medicover).