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 😊

Requirements

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 ).

Must have: Machine learning, Python

Nice to have: Cloud platform, Azure, AWS, GCP, MLOps, TensorFlow, Keras, PyTorch