Computer Vision Tech Transfer Engineer
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Opportunity description
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Computer Vision Tech Transfer Engineer
Computer Vision, Image Processing, Composite Photography, Design Patterns, Python, C++, C#, JavaScript
Stanton House are currently working closely with a Cambridge-based technology company revolutionising the way in which people shop for clothes online. With a strong team of Data Scientists and Computer Vision Researchers, they are now currently resourcing for an individual to assist in the scaling and productionising their research which spans computer vision, machine learning, graphics, finite element modelling & simulation and integrating this with their existing product lines.
You will be required to collaborate both with both the company's agile R+D team as well as other tech and product teams with strong communicative and creative abilities essential in driving forward the next stage of the company's development.
Responsibilities:
- Optimise, refine, or re-implement existing research prototype codes for production, building and publishing libraries and service APIs
- Improve or retrain existing models / deep neural networks on an iterative basis
- Transfer latest solutions from R&D team to the other tech-team and crews for software production, integration, and deployment
Requirements:
- Bachelor's in Computer Science, Engineering or other numerical discipline (or relevant commercial experience)
- Essential background knowledge in Image Processing, Computer Vision, and ML
- Extensive commercial experience in production software development with experience in similar tech transfer roles highly preferred
- Strong programmer with expertise in multiple languages (Python, C++, C#, JavaScript)
- Experience working on legacy codes
- DevOps experience, especially in Cloud (AWS) environment
- RESTful API design
Benefits:
- Competitive Salary, Flexible and Remote Working options
- Relaxed office environment (open-plan kitchen, games rooms, sofas)
- Annual budget and days contributed to personal development
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