Senior Software Engineer developing scalable machine learning solutions for product - driven team at Maropost. Collaborating on recommendation systems and enhancing developer experience within the Machine Learning team.
About the role
- Join Genesys as an Associate AI/ML Engineer to kickstart your career in AI and software development in a supportive environment. Work on AI solutions while learning from experienced engineers.
Responsibilities
- Work on smaller, well-defined tasks within AI/ML projects under supervision, focusing on building foundational skills in Python development, machine learning concepts, and cloud technologies
- Write clean, maintainable code following team standards and best practices, with active participation in code reviews to learn from senior team members
- Assist in research, data preparation, model training experiments, and basic feature engineering tasks while learning about ML pipelines and model deployment processes
- Participate actively in agile ceremonies (stand-ups, sprint planning, retrospectives), ask questions to deepen understanding, and communicate progress on assigned tasks
- Learn and apply software quality practices including unit testing, version control with Git, and basic CI/CD concepts
- Demonstrate hunger to learn new technologies, take on feedback constructively, and show initiative in personal development through documentation, tutorials, and team knowledge sharing
Requirements
- University degree (Hons 2.1 or higher) in Computer Science, Engineering, Mathematics, Data Science, or related discipline (or equivalent experience), with less than 2 years of relevant industry experience or recent graduate
- Basic proficiency in Python with understanding of fundamental programming concepts (variables, loops, functions, OOP principles), plus demonstrated interest in AI/ML through personal projects, coursework, or self-study with basic familiarity with machine learning concepts (supervised/unsupervised learning, training/testing)
- Ability to explain technical concepts, work collaboratively with team members, and participate actively in agile teams while being comfortable receiving constructive feedback
- Willingness and ability to learn quickly, not afraid to ask questions, shows self-motivation through personal projects beyond mandatory coursework, and demonstrates proactive learning of new technologies
- Desirable Skills & Experience: Exposure to at least one ML framework (TensorFlow, PyTorch, scikit-learn) through coursework or personal projects; Experience with data manipulation libraries (pandas, NumPy) or basic data visualization tools; Basic familiarity with cloud concepts, introductory experience with AWS services, or understanding of REST APIs; Experience with Java or other programming languages beyond Python (Java experience is particularly beneficial); Familiarity with Agile methodologies, Jira, or similar project tracking tools; An awkward sense of humor, genuine curiosity, and collaborative mindset (we appreciate authenticity!).
Benefits
- Stability of a multinational company and the flexibility/speed of a startup company.
- The warmest of welcomes: we will make sure you feel part of the Genesys team from day 1.
- Keep you in the loop: Complete support and transparency from our global/local leaders.
- An A-team: Talented and experienced professionals you can grow professionally with.
- An open & inclusive community.
- Career development: We will support your professional growth because your goals are important to us.
- Flexibility: we are open to candidates being eventually office based in Budapest, remote workers long term or a mix of both, but Hungary based.
- Empathy: your well-being is our priority. You will have extra days off in August and October, and extra time off to volunteer to help a cause close to your heart.
- Cafeteria, health insurance, life insurance, learning center to improve yourself, language courses, gym, vitamin bar, company cafe with our own barista.
- A fabulous new HQ from near Nyugati Railway Station at Budapest.
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