Senior Machine Learning Engineer
Senior Machine Learning EngineerBudapest, Hungary (Hybrid)Join our client and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise
customers and put their information to work to transform the way they do business.
Over 10,000 customers trust our client,
including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as
DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.We are seeking a talented Senior Machine Learning Engineer to develop and optimize next-generation multimodal understanding models, with a strong focus on computer vision. This hands-on technical role combines deep implementation expertise with project execution. The ideal candidate will implement and optimize ML solutions while collaborating across functions to deliver production-ready systems.Core ResponsibilitiesTechnical Development & Innovation: • Develop and optimize state-of-the-art computer vision and multimodal models • Design and implement advanced model architectures for visual understanding tasks • Create robust evaluation frameworks and testing methodologies • Drive technical improvements in model performance and efficiency • Research and evaluate new approaches in computer vision and multimodal learning • Implement novel computer vision algorithms and techniquesProject Leadership: • Lead technical implementation of ML projects • Drive architectural decisions for model development • Review code and model architectures • Contribute to technical planning and decision-making • Support cross-functional collaboration with product and infrastructure teams • Help maintain technical standards and best practicesInfrastructure & Scale: • Implement scalable training and evaluation pipelines for computer vision models • Build efficient visual data processing workflows • Develop monitoring solutions for production ML systems • Optimize model performance and resource utilization • Support deployment and production maintenance • Design efficient inference systems for visual processingRequired QualificationsEducation & Experience: • MS or PhD in Computer Science, Engineering, Mathematics, or related field • 5+ years of experience in Machine Learning/AI • Strong track record of shipping computer vision models to production • Deep expertise in computer vision and deep learningTechnical Expertise: • Expert knowledge of computer vision techniques and architectures • Deep expertise in modern deep learning architectures for visual and multimodal tasks • Strong programming skills in Python and proficiency with PyTorch or equivalent frameworks • Experience with cloud platforms and MLOps tools • Demonstrated ability in building and optimizing training pipelines • Strong background in image processing and visual computingLeadership & Communication: • Experience leading technical projects • Strong problem-solving and analytical skills • Excellence in cross-functional collaboration and technical communication • Ability to translate complex technical concepts to various audiencesThis role offers the opportunity to work on cutting-edge computer vision and multimodal ML systems while solving complex technical challenges. The ideal candidate will combine deep computer vision expertise with strong implementation skills to deliver innovative solutions.Here are some of our local benefits:
- Work from home, remotely, or hybrid
- Partial compensation for glasses and lenses
- Private health insurance
- Volunteering Time Off (2 days/ year)
- SZÉP Card for recreational activities
- 3 extra days/ month for 'sick leave' without doctors visit
- Flexible working hours