Match score not available

Senior Machine Learning Engineer - Remote Across Europe

extra holidays
Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field., 5+ years of industry experience in developing and deploying ML solutions., Proficiency in Python with data science libraries., Experience with ML frameworks like TensorFlow and PyTorch..

Key responsabilities:

  • Lead design and deployment of ML models.
  • Collaborate with engineers and stakeholders.
Docler Holding Luxembourg logo
Docler Holding Luxembourg Internet SME https://www.DoclerHolding.com/
201 - 500 Employees
See more Docler Holding Luxembourg offers

Job description

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

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.

Qualifications
  • B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field.
  • 5+ 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.

Additional Information

What we offer 

  • An exceptional compensation package along with relocation support to help you move to the Grand Duchy
  • Your health is our wealth: private health insurance and free gym membership
  • On top of the minimum 26 vacation days, we also provide additional days the longer you work for us
  • Forgot your morning grub at home? We provide daily breakfast for our employees, energizing them for the day ahead and helping them connect with each other
  • 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.

If you are based in Luxembourg or Hungary, our hybrid working arrangements will align with both company policies and local employment regulations.

Note: Byborg Enterprises SA 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.

We are in it for the long haul so your future is safe with us.

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Internet
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Forecasting
  • Collaboration
  • Communication
  • Problem Solving

Machine Learning Engineer Related jobs