Description
Job Responsibilities:
Technical Leadership & Innovation
- Architect and implement state-of-the-art document understanding models, from conception to production deployment
- Drive technical decision-making for ML infrastructure, model architecture, and deployment strategies
- Establish best practices for model development, testing, and deployment workflows
- Identify and evaluate emerging technologies and methodologies to maintain competitive advantage
Team & Project Leadership
- Lead and mentor a team of senior machine learning engineers
- Foster a culture of technical excellence, innovation, and continuous learning
- Drive cross-functional collaboration with product, design, and infrastructure teams
- Define technical roadmaps aligned with business objectives
- Champion data privacy, security, and compliance standards
Infrastructure & Scale
- Partner with infrastructure teams to design and optimize data pipelines for large-scale training
- Architect solutions for efficient real-time and batch inference
- Ensure robust monitoring and maintenance of production ML systems
- Drive improvements in model performance, efficiency, and reliability
Job Requirements:
Education & Experience
- MS or PhD in Computer Science, Engineering, Mathematics, or related field
- 10+ years of experience in Machine Learning/AI, with focus on Computer Vision
- Proven track record of deploying ML models at scale in production environments
Technical Expertise
- Deep expertise in modern deep learning architectures, particularly multimodal and multi-task networks
- Strong programming skills in Python and proficiency with PyTorch or equivalent frameworks
- Extensive experience with cloud platforms and MLOps tools
- Demonstrated expertise in building and optimizing large-scale data processing pipelines
Leadership & Communication
- Proven ability to lead and mentor technical teams
- Strong track record of driving technical decisions and innovation
- Excellence in cross-functional collaboration and technical communication
- Recognized thought leadership in machine learning and document understanding
This role offers the opportunity to shape the future of document understanding technology while leading a talented team of engineers. The ideal candidate will combine technical excellence with strategic thinking to deliver innovative solutions that drive business value.
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
