Data Scientist / Machine Learning Engineer

Are you eager to build real‑world machine learning solutions that make a tangible impact on how businesses work?

Join our team and take the next step in your career by working on innovative, diverse projects where you’ll experiment with modern ML technologies and contribute to intelligent applications used across corporate environments.

What will you do in this role?

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.

Your daily responsibilities will include, among others:

• collaborating on the design and development of ML‑based applications and their backend components,
• helping to select the most applicable solutions for a given business problem,
• writing clean, efficient and well‑documented code,
• contributing to our MLOps processes,
• staying up to date with emerging trends and technologies in software development.

We are looking for you if have:

• a completed Master’s degree (ideally in Statistics, Mathematics or Computer Science) or up to 3 years of relevant work experience,
• proven experience using Python and basic knowledge of shell scripting,
• familiarity with software development methods and version control tools such as Git,
• ability to work independently and reliably in a small team,
• proactivity and eagerness to learn,
• willingness to experiment with various generative and descriptive AI use cases,
• at least intermediate proficiency in English (oral and written); Hungarian knowledge is an advantage.

We consider it an advantage if you have:

• experience with database technologies (MS SQL, PostgreSQL, MongoDB),
• experience with deep learning models and related Python packages such as Transformers or PyTorch,
• experience in developing NLP models,
• experience with Azure.

Compensation and Benefits

• competitive salary and a wide range of cafeteria elements
• private health insurance, life and accident insurance
• company laptop and iPhone to support efficient work
• employee wellbeing programs: discounted gym membership and other sports opportunities

Professional Development and Career Path

• diverse projects and experience with up-to-date technologies
• structured onboarding and mentoring program
• transparent and dynamic career path (annual promotion opportunities)
• profession and personal growth via professional mentoring and several online and offline learning opportunities

Wellbeing

• a close-knit, cohesive teams where members help one another to achieve a common goal
• hybrid and flexible working arrangements
• opportunity to participate in volunteer activities throughout the year, with additional paid leave provided
• active community life and regular team‑building events

Egyik kiemelkedő területünk az adótanácsadás, amely folyamatosan fejlődik és bővül. Csapatunk teljeskörű szolgáltatást nyújt ügyfeleink számára adózás területén, legyen szó magánszemélyek és társaságok adózásáról, nemzetközi adózásról, transzferárazásról. Ennek a széleskörű portfóliónknak köszönhetően lehetőséged van különböző adónemhez köthető csapataink közül választani.

Are you ready to take the next step?

Apply now by uploading your English and/or Hungarian CVs.