AI/ML Engineer
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe.
Shape the Future with AI/ML Engineer!
Are you passionate about building predictive models and leveraging cutting-edge AI techniques? Join our team and help us deliver impactful, data-driven solutions.
Sounds like your kind of challenge?
#LI-Hybrid
What you get in return
- Flexible cooperation model – choose the form that suits you best
(B2B, employment contract, etc.) - Hybrid work setup – remote days available depending on the client’s arrangements
- Collaborative team culture – work alongside experienced professionals eager to share knowledge
- Continuous development – access to training platforms and growth opportunities
- Comprehensive benefits – including Interpolska Health Care, Multisport card, Warta Insurance, and more
- High-quality equipment – laptop and essential software provided
What you'll be doing
As a AI/Machine Learning Engineer, you will design and develop predictive and recommendation models, experiment with state-of-the-art ML/AI techniques (including deep learning), and evaluate their impact on business KPIs. You’ll optimize data pipelines and model code using PySpark, Pandas, and MLflow, write clean, production-ready code aligned with CI/CD best practices, and collaborate with Data Engineers and stakeholders throughout the entire lifecycle — from data exploration to deployment.
Note: Detailed project information will be shared during the recruitment process.
Joining this project you’ll become part of Mindbox – a tech-driven company where consulting, engineering, and talent meet to build meaningful digital solutions. We’ll back you up every step of the way, accelerate your development, and ensure your skills make a difference.
Ready to take the next step?
Submit your application! We look forward to reviewing your profile 😊
Who we're looking for
- Experience: 3+ years in Data Science / Machine Learning.
- Technical Skills:
- Hands-on experience deploying predictive and classification models.
- Advanced knowledge of Python and ML libraries.
- Experience working with large-scale datasets.
- Ability to measure model performance in business terms.
- Soft Skills: Strong analytical background and problem-solving mindset.
Nice to Have
- Experience with cloud platforms (Azure, AWS, GCP).
- Previous work in multi-client or consulting environments.
- Familiarity with MLOps tools and model deployment automation.
- Experience with deep learning frameworks (TensorFlow, Keras, PyTorch).