Senior Machine Learning Engineer

Summary

Join Byborg's Machine Learning R&D team as a Machine Learning Engineer and lead the design, development, and deployment of advanced machine learning models. Collaborate with engineers and stakeholders to implement innovative solutions, develop and maintain production-level code, and optimize solution performance. Partner with other engineers to create and iterate on models, participate in code reviews, and mentor junior engineers. This role requires a strong background in machine learning, proficiency in Python and relevant libraries, and excellent communication skills. Byborg offers an exceptional compensation package, private health insurance, a cafeteria benefit, professional development opportunities, company merchandise, and a collaborative work culture.

Requirements

• 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

Responsibilities

• 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

Benefits

• An exceptional compensation package
• Private health insurance
• AYCM sportpass
• Cafeteria benefit (gross 500.000 Ft / year)
• The opportunity to see your work directly contribute to the success of the company
• You have the chance to attend events, meetups, and other perks for your professional growth
• Company-branded merchandise
• A fun, professional, and collaborative work culture