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emagine Polska

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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: retail, supply chain, manufacturing or e-commerce background, and forecasting projects

Skills

What Senior ML / AI jobs ask for — and how much of it you have →
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See also

ML / AI jobs by country — openings, pay and top skills →