Machine Learning Engineer

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Description

What we offer Start : ASAP / within 1 month Budget: 170-190 zł/h 100% remote , full-time B2B contract 6-12 months with a strong chance of extension Work with an international team and a Danish global brand Want to see your models drive real business decisions? Join a well-known global consumer brand as a Senior ML Engineer and turn data into impact across the entire value chain. You'll build Proofs of Concept, take models into production and keep them running well. Focus areas include Demand Forecasting , Predictive Customer Lifetime Value and Process Optimisation . What you'll do Own the ML lifecycle: from problem framing and prototyping to deployment and monitoring Design and improve data pipelines that are reliable and reproducible Connect ML systems with enterprise data sources such as PLM, ERP (AX / SAP) and o9 Drive MLOps best practices: CI/CD for ML, monitoring, automated retraining Work with data scientists, engineers and business stakeholders to turn goals into ML solutions Define KPIs and keep improving accuracy, efficiency and scalability What we're looking for 5+ years in Machine Learning Engineering, Data Science or Applied ML Proven experience deploying ML models at scale in production Advanced Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, Spark MLlib) Experience with Databricks, Snowflake, Spark or Hadoop - strongly preferred Strong SQL skills Cloud experience ( Azure preferred), Docker, Kubernetes Git, CI/CD, JIRA, Confluence Nice to have retai

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