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Senior Computer Vision Engineer

2 months ago


London, Greater London, United Kingdom Valerann Full time

About Valerann

Valerann is a rapidly growing AI-driven mobility scale-up with a global presence. We are a diverse and driven team that is making the road-based transport sector safer, greener, and more equitable through our unique AI and data analytics platform.

We do that through data-driven insights, constantly ingesting and processing large sets of structured and unstructured data coming from a broad range of disparate data sources, including connected vehicles, cameras, and crowdsourcing platforms. Our expertise lies in deep data fusion and analytics. Our passion is to empower our customers with the tools to use data to make our journeys safer and greener.

We have made tremendous progress to date, and we need your help to support our growth.

About the Role

We are looking for an experienced Senior Computer Vision Engineer to join our team.

You will be working within our Computer Vision Team to maintain computer vision backend services, tune existing algorithms for new deployments, and develop new solutions to complex problems.

Your main responsibility will be supporting existing computer vision solutions, with a secondary aim to support the development of new computer vision solutions.

Key Responsibilities

  • Analyzing thousands of real-time video feeds, detecting and predicting traffic issues to help save lives, reduce congestion, and decrease emissions.
  • Being involved in the wider team: working on Python, supporting other team members with APIs, discussing/critiquing/planning architectures, etc.
  • Hands-on experience in developing/researching image and video processing algorithms using both traditional image processing techniques (e.g. homographies, image matching, FFTs, filters) and modern deep learning algorithms.
  • 4+ years of Python experience, using libraries such as OpenCV, Numpy, Sklearn, PyTorch.
  • Experience in developing production-ready, real-time, optimized, scalable, machine learning services in Cloud environments using technologies such as AWS, Kafka, and Docker containers.
  • Proven experience with developing classical computer vision systems to solve real-world problems (e.g. people tracking, facial recognition, cell counting).
  • Ideally, proven experience in implementation of deep learning algorithms on real-world vision projects.
  • Additional experience in areas such as 3D geometry, H264 video compression, YOLO, and Cuda is advantageous.

Requirements

  • Fluency in English with excellent communication skills, experience in working in Agile teams with multiple stakeholders.
  • Have a relevant academic background including theoretical and practical knowledge of image processing and deep learning.
  • Enjoy fast-paced start-up environments working in small agile teams, as well as taking initiative.