Machine Learning Engineer- Production

audatex.sk

Not specified (assumed flexible or hybrid based on the collaborative nature of the role)
Production-grade machine learning models
Python and scientific libraries
Tensorflow or pytorch
Audatex.sk is seeking a Machine Learning Engineer to join their international team, focusing on developing production-grade machine learning models for predictive analytics and sustainability. The role emphasizes collaboration across various teams, ensuring models are robust, scalable, and aligned with business needs

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.
  • As a Machine Learning Engineer, you will collaborate closely with Data Scientists, Data Engineers, Data Architects, Product teams, and customers to ensure models are reliable, scalable, and aligned with business and technical expectations.
  • You will apply best practices in MLOps including CI/CD for ML, model monitoring, drift detection, and automated retraining while ensuring strict compliance with data privacy, security, and governance policies.

Matching Summary

Match Score: 85

Audatex.sk is seeking a Machine Learning Engineer to join their international team, focusing on developing production-grade machine learning models for predictive analytics and sustainability. The role emphasizes collaboration across various teams, ensuring models are robust, scalable, and aligned with business needs.

Skills & Requirements

Must-have

  • Production-grade machine learning models
  • Python and scientific libraries
  • TensorFlow or PyTorch
  • Spark MLlib distributed training
  • MLOps best practices
  • Data pipeline integration
  • Collaborative international teamwork

Nice-to-have

  • Curiosity for new technologies
  • Strong analytical and problem-solving skills
  • Experience with on-premise and cloud platforms
  • Effective communication with global stakeholders
  • Participation in agile ceremonies

Key Requirements

  • Bachelor’s or Master’s degree in related field
  • Experience with predictive modelling and time-series analysis
  • Hands-on ML engineering experience in production
  • Proficiency in Python and ML frameworks
  • Experience deploying and maintaining ML models
  • English communication skills

Work Rights

Not specified

Tailored Resume

Cover Letter