Lead Machine Learning Engineer

📋 Description

• Lead the design and evolution of capabilities for developing, calculating, testing, governing
• Shape the end-to-end technical architecture and engineering patterns supporting the attribute
• Evaluate new data sources and methodologies, quantifying their incremental predictive and
• Design reusable approaches for onboarding new data assets and existing attribute libraries
• Provide hands-on technical leadership for complex implementations and proof-of-concepts across

🎯 Requirements

• Software engineering fundamentals, including object-oriented programming, data structures
• Hands-on experience with Python and its data/analytical ecosystem, such as Pandas and NumPy.
• Experience developing production-grade data or ML applications, rather than only analytical
• Experience designing APIs and services for exposing data or ML capabilities; experience with
• Experience with software development lifecycle, Agile development practices, code review and
• Experience with applied machine learning and statistical concepts, including model evaluation

🎁 Benefits

• Personal Development - career pathway for professional growth supported by learning and development
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and
• Social benefit package including life insurance, food vouchers, additional health insurance, dental
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid
• Opportunity for Flexible working hours and Home Office.