AI/ML Engineer
Summary
Build and deploy AI/ML models (predictive, recommendation, deep learning) using Python, PySpark, and MLflow; optimize pipelines and collaborate with data engineers to drive business KPIs.
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).