Machine Learning Engineer

If you find it interesting to:

• Work in a highly collaborative environment with the team of data engineers, data scientists as well as data experts
• Implement machine learning methodology for solving real business problems in telco world
• Work on research, designing, optimization and maintenance of self-running systems to automate different ML models
• Select appropriate data representation methods with multilayered data sets and construct optimized data pipelines to feed machine learning models
• Continuously learn and grow both technically and professionally

If you have:

• University degree (Computer Science/Mathematics or similar)
• Proven experience in data engineering and data manipulation, data pipeline and workflow management tools
• Strong experience in Python and SQL
• Experience in integrating ML models into complex data-driven systems
• Knowledge and skills at using cloud services (MS Azure is considered as advantage)
• The ability to work in highly dynamic data-driven environment
• Understanding of business principles and processes
• Fluency in English, written and spoken

If you are:

• A constant learner
• Passionate about data exploration and automation
• Creative and able to adapt and make things happen
• Team-oriented, ready to take over responsibility and listen/respond to others
• Passionate for performance and motivated to go the extra mile
• Great in communication skills and open minded
• Highly responsible and proactive

If you would like to work at a place where:

• There is no knocking, no doors, and no holding back
• You communicate openly and directly and you’re free to express and suggest your ideas
• Curiosity and hunger for knowledge are appreciated and nurtured
• Employees enjoy motivating benefit package (voluntary health insurance, flexible working hours, various work-life balance benefits, and much more)

A1 Serbia is a member of A1 Group, the leading mobile communication provider in South-Eastern Europe. Take the chance and join us in once-in-a-lifetime experience in a team where the talent and spirit of our people stand along with innovation leadership, outstanding customer orientation and cutting-edge technologies on a way to success.

Join us, submit your application until April 18th 2025.