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Senior Machine Learning Engineer

Posted about 1 month agoViewed

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๐Ÿ’Ž Seniority level: Senior, 5+ years

๐Ÿ“ Location: Hungary

๐Ÿ” Industry: Software Development

๐Ÿข Company: ABBYY๐Ÿ‘ฅ 1001-5000๐Ÿ’ฐ almost 4 years agoCommunications InfrastructureAnalyticsData VisualizationSoftware

๐Ÿ—ฃ๏ธ Languages: English

โณ Experience: 5+ years

๐Ÿช„ Skills: PythonCloud ComputingImage ProcessingMachine LearningPyTorch

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
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
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