About the Role
The role involves designing, training, and deploying deep learning models for image analysis, with a focus on improving accuracy and scalability in identity validation workflows.
Responsibilities
- Develop and refine deep learning models for image classification and object detection
- Analyze and preprocess large-scale image datasets to support model training
- Collaborate with engineering teams to integrate models into production systems
- Evaluate model performance using statistical methods and real-world test cases
- Optimize inference speed and accuracy for deployment in high-throughput environments
- Stay current with advancements in computer vision and deep neural networks
- Troubleshoot and resolve issues in model performance and data quality
- Work with cross-functional teams to define requirements for new features
- Document model architectures, training pipelines, and evaluation results
- Ensure models comply with privacy and data governance standards
- Conduct experiments to compare model variants and select optimal configurations
- Support A/B testing of vision models in live environments
- Improve labeling pipelines by providing feedback on annotation quality
- Use version control and experiment tracking tools for reproducibility
- Contribute to best practices in machine learning operations
- Assist in scaling data infrastructure to support growing model demands
- Participate in code reviews and technical design discussions
- Translate business requirements into technical solutions
- Monitor model behavior post-deployment for drift or degradation
- Apply domain knowledge to improve detection of fraudulent identity documents
- Work with minimal supervision on defined projects
- Present findings and recommendations to technical and non-technical stakeholders
- Support the development of automated quality assurance tools
- Help maintain model lineage and metadata tracking
- Contribute to long-term research initiatives in visual recognition
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work environment with flexibility for remote and office-based work
Team
Collaborative team focused on advancing machine learning and computer vision technologies
About the Role
This position is central to improving the accuracy and robustness of automated identity verification through advanced computer vision techniques. The candidate will work on end-to-end development of models that analyze identity documents and facial images.
What We Look For
We seek individuals who combine technical depth with a practical mindset, capable of turning research concepts into reliable, scalable systems that operate at high volume and low latency.
Impact
Your work will directly influence the reliability of identity decisioning systems used by major financial institutions and digital platforms to prevent fraud and enable trusted access.
Available for qualified candidates
