ml engineer for SaaS products

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• Develop and implement production-ready Machine Learning models
• Build and integrate AI applications
• Move ML models from experimental stages into scalable production environments
• Integrate AI capabilities into products
• Collaborate with Data Scientists, Data Engineers, and Product teams
• Combine ML development with software engineering practices

• Experience in AI / ML Engineering
• Experience developing and implementing Machine Learning models
• Understanding of the process of moving models from experimental stages into production
• Experience working with AI applications
• Understanding of both Data Science and Software Engineering approaches
• Experience collaborating with Data Science, Data Engineering, and Product teams
• English — Upper-Intermediate+

• Long-term collaboration
• Opportunity to work on an international client project in a white-label format
• High level of ownership and autonomy
• 21 Paid vacation days, 10 paid sick leave days, and Ukrainian public holidays
• Individual English lessons
• Medical insurance for employees based in Ukraine
• Safari Books Online subscription
• Corporate psychologist sessions