Machine Learning Engineer II developing machine learning solutions for supply chain optimization at Grainger. Collaborating with data scientists and engineers to build robust data pipelines and ML models.
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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