Senior Machine Learning Engineer - Remote Across Europe (Contractor)

Welcome to Byborg! As a leader in IT and streaming solutions, we deliver high-quality services for premium online experiences.

Headquartered in Luxembourg and operating globally, our company is proud of its diversity, with over 40 different nationalities working side by side. Since its launch, our flagship product has led the market, continually pushing the boundaries of digital innovation and today our platforms serve millions of users daily.

Working with a wide range of cutting-edge technologies and constantly pushing the envelope in AI experimentation, we ensure robust and reliable performance through our powerful network of data centers. Furthermore, our advanced design and testing methods, including Behavior-Driven Development, set us apart.

We are proud of our dynamic portfolio, featuring over 16 leading and fast-growing brands. These include our streaming platforms (LiveJasmin.com, Cherry.TV, IsLive.com, Oranum.com), our marketing and advertising services (AdSupply, AWEmpire, TwinRed), and our entertainment and lifestyle brands (LoyalFans.com, The Million Roses, Kinkly.com).

Are you looking for new challenges in an international, collaborative environment? The Byborg squad is seeking passionate individuals ready to make an impact. Join us in our inclusive workplace where you will be appreciated, and you can grow and achieve your potential. Help us shape the future!

Our Machine Learning R&D team designs, creates & uses state-of-the-art solutions to solve problems in live streaming apps. We apply AI where it is beneficial and profitable, thus not limiting ourselves to a single topic in the AI world.

For us it's always important to work with as motivated and passionate people as we are. If you are looking for real-life challenges, join us to build an independent ML system together.

• Lead the design, development, and deployment of advanced machine learning models to solve complex business problems.
• Collaborate with a diverse team of engineers, and stakeholders to brainstorm and implement innovative solutions.
• Develop and maintain production-level code, transforming machine learning models, PoCs into reliable, scalable pipelines.
• Partner with other Machine Learning Engineers to create, evaluate, and iterate on models.
• Optimize solution performance and code efficiency to handle large-scale data and applications.
• Participate in code reviews, mentor junior engineers, and contribute to the overall code quality and knowledge sharing within the team.

• B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field.
• 6+ years of industry experience in developing and deploying ML solutions.
• Proficiency in Python and experience with popular data science libraries.
• Expertise in ML frameworks (both deep and classical/shallow learning) like TensorFlow, PyTorch, and Scikit-Learn.
• Strong understanding of classical/shallow and deep learning algorithms, and practical experience in applying them.
• Proficient in statistics methodologies and comfortable with techniques such as clustering, forecasting, regression, and classification.
• Excellent problem-solving skills and a strong engineering mindset, with the ability to write high-quality, maintainable code.
• Exceptional communication and collaboration skills, with a proven track record of working effectively in a team.