Data engineer - Machine learning

Design, develop, and maintain machine learning systems to support data-driven initiatives. Collaborate with cross-functional teams to research, implement, and fine-tune ML algorithms and frameworks.

• Design and build scalable machine learning pipelines
• Implement and test ML models across various datasets
• Analyze model performance and iterate on improvements
• Integrate ML solutions into production environments
• Collaborate with data engineering and product teams
• Maintain documentation and best practices for ML workflows

• Experience with Big Data, Neural Networks, and Reinforcement Learning
• Ability to design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine‑tune models using test results
• Extend existing ML libraries and frameworks
• Stay updated on development trends in ML