Company Description

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!

Job Description

• Assist in the development and implementation of machine learning models under the guidance of senior team members.
• Participate in the brainstorming and ideation of innovative solutions to business problems.
• Write and maintain code to support ML model development and deployment.
• Learn and apply best practices in code optimization and model performance.
• Participate in code reviews and contribute to team discussions.

Qualifications

• B.S. in Computer Science, Engineering, or a related technical field.
• Up to 2 years of experience in machine learning or data science projects (internships or academic projects included).
• Proficiency in Python and familiarity with data science libraries.
• Exposure to ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Basic understanding of machine learning algorithms and concepts.
• Basic knowledge of statistics and data analysis.
• Strong willingness to learn and grow in a collaborative team environment.
• Good communication skills and a proactive attitude.

Additional Information

What we offer 

• An exceptional compensation package
• Your health is our wealth: We will offer you a private health insurance and an AYCM sportspass
• Cafeteria benefit (gross 500.000 Ft / year)
• The opportunity to see your work directly contribute to the success of the company
• When you grow, we grow: You have the chance to attend events, meetups, and other perks for your professional growth
• You’re joining the #ByborgSquad and you are going to look the part! We give out company-branded merchandise to every new joiner
• And of course, a fun, professional, and collaborative work culture

Byborg Enterprises is an equal employment opportunity employer. We consider individuals for employment based on their skills, abilities and experience. We thrive to attract and hire a strong, talented and diverse workforce, prohibiting discrimination based on race, color, religious or political beliefs, age, nationality, physical, mental or developmental disability, gender, sexual orientation.

DISCLAIMER: This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management's discretion. 

Final candidate will be requested to provide with a recent criminal record extract for background screening purpose.

NOTE: Byborg Enterprises does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency without prior approval from our Legal and Recruiting Department to be unsolicited, and such submissions will not be recognized for purposes of “ownership” of the candidate.