Machine Learning Engineer- Production

Audatex Systems s.r.o

Production-grade model implementation
Predictive modeling, regression, time-series
Python, spark mllib, tensorflow, pytorch
You will work at the intersection of algorithm research and production-grade model implementation, developing innovative solutions in prediction, regression, time-series forecasting, and sustainability-driven analytics

Job Summary

  • You will work at the intersection of algorithm research and production-grade model implementation, developing innovative solutions in prediction, regression, time-series forecasting, and sustainability-driven analytics.
  • Your work will help strengthen our technological ecosystem and accelerate the development of next‑generation AI solutions across the organization.
  • As a Machine Learning Engineer, you will collaborate closely with Data Scientists, Data Engineers, Data Architects, Product teams, and—when required—customers, ensuring that models are reliable, scalable, and aligned with both business and technical expectations.

Matching Summary

You will work at the intersection of algorithm research and production-grade model implementation, developing innovative solutions in prediction, regression, time-series forecasting, and sustainability-driven analytics.

Skills & Requirements

Must-have

  • Production-grade model implementation
  • Predictive modeling, regression, time-series
  • Python, Spark MLlib, TensorFlow, PyTorch
  • MLOps best practices
  • Data privacy, security, governance

Nice-to-have

  • Collaborate with customers
  • Agile ceremonies participation
  • Stay informed on latest advances

Key Requirements

  • Bachelor's or Master's degree
  • Hands-on experience as ML Engineer in production
  • Experience deploying and maintaining ML models
  • Experience with on-premise/cloud platforms
  • English communication skills

Work Rights

Not specified

Tailored Resume

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