- Lead the end to end design and development of computer vision solutions from problem definition and data understanding to model deployment and monitoring
- Architect and implement robust pipelines for image and video processing feature extraction and model inference using modern computer vision techniques
- Leverage and integrate Azure based computer vision capabilities
- Collaborate with product managers and stakeholders to translate business requirements into clear technical specifications and solution designs
- Provide technical leadership to a small team of engineers including code reviews design guidance and mentoring on best practices in computer vision and cloud implementation
- Optimize models and pipelines for performance scalability and reliability in production environments including latency throughput and cost considerations
- Establish and promote coding standards documentation practices and reusable components for computer vision projects
- Evaluate new algorithms frameworks and Azure services relevant to computer vision and drive their adoption where beneficial
- Work closely with DevOps cloud teams to ensure secure resilient and maintainable deployments of vision services on Azure
- Troubleshoot production issues related to computer vision components and drive continuous improvement through root cause analysis and iterative enhancements
- Primary skills Technology Artificial Intelligence Computer Vision Technology Machine Learning Azure ML
- Knowledge of more than one technology
- Basics of Architecture and Design fundamentals
- Knowledge of Testing tools
- Knowledge of agile methodologies
- Understanding of Project life cycle activities on development and maintenance projects
- Understanding of one or more Estimation methodologies Knowledge of Quality processes
- Basics of business domain to understand the business requirements
- Analytical abilities Strong Technical Skills Good communication skills
- Good understanding of the technology and domain
- Ability to demonstrate a sound understanding of software quality assurance principles SOLID design principles and modelling methods
- Awareness of latest technologies and trends
- Excellent problem solving analytical and debugging skills
Technology->AI-Data science->Computer Vision,Technology->AI-AI Hyperscalers->Azure Agentic AI Services->Computer Vision with Azure
