Data Scientist (Computer Vision Scientist) (Remote)

We're looking for a talented and experienced engineer with background in computer graphics to join our Product development team in Weaveroo. You'll be working along side with a team from various engineering fields, so you must be a productive and collaborative member working towards the goal of pushing R&D technologies to production.

• Be thorough in the theory of image processing and computer vision: Image processing, Image annotation and transformations, optimization and estimation, significant point detection and image descriptors.
• Build and deploy computer vision solutions either on the edge or cloud.
• Experiment with new machine learning algorithms suitable for the business use cases.
• Analyze the performance of models and related business metrics and provide insights.
• Understand client's business to be able to articulate the business problem, create relevant solutions using technical knowledge and deploy the solutions to drive revenue.
• Optimize and tune the solutions/models for the client context.
• Communicate with end clients on solutions, recommendations and performance.
• Collaborate and work closely with several key stakeholders (account, engineering, and product and R&D managers) to drive revenue.

Educational Qualifications

Bachelors or Master's degree from reputed institutes with relevant R&D experience in one of the following fields:

• Computer Vision
• Image processing
• Machine Learning and Artificial intelligence
• Video processing

Desired Hard Skills

• 1 to 2 years' experience in using computer vision & toolkits e.g., OpenCV etc.
• Experience with general purpose programming languages e.g., C/C++, Java, Python.
• Experience in Deep Learning (Tensorflow, Torch)
• Experience working with Databases and SQL Queries (optional).
• Experience in Amazon SageMaker(Optional) or similar

Desired Soft Skills

• Excellent communication skills
• Analytical skills
• Good presentation skills
• Attention to details
• Willingness to learn new technologies