Machine Learning Engineer creating and maintaining ML models for intelligent automation and forecasting at Create Music Group. Collaborating with multiple teams to implement AI - driven solutions.
About the role
- Senior Machine Learning Engineer developing and optimizing computer vision models for enterprise AI solutions at ABBYY. Leading projects and collaborating across teams to drive innovation in machine learning technology.
Responsibilities
- 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 techniques
- 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 practices
- 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 processing
Requirements
- 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 learning
- 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 computing
- 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 audiences.
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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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