This is a remote position.
We are looking for a highly motivated Deep Learning / MLOps engineer with commercial experience in Computer Vision. The role requires a UK or US work permit.
Responsibilities
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Provide AI/ML environments to automate endtoend data flows
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Design and maintain platform services with CI/CD pipelines
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Experience with Microservice architecture Models as a Service and RESTful APIs
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Keep up to date with the latest ML and computer vision technologies
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Working closely with the Data Science team
Requirements
The successful applicants will have the following skills and experience:
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Bachelors or Masters degree from a strong university in a relevant field (Computer Science etc.)
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Strong skills in Python Node.js AWS Docker Kubernetes Argo Workflow and CI/CD pipelines
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Handson experience with MLOps tools such as ClearML KubeFlow MLFlow DVC or Pachyderm
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Familiarity with standard tools and libraries e.g. Pytorch OpenCV Tensorflow CVAT Albumentations Fiftyone etc.
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Production experience in one or several of the following areas: Machine Learning Data Engineering Data Mining Artificial Intelligence
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Preferred experience in working with Computer Vision and Edge AI
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Comfortable with Agile Software Development Principles
What we offer
- At viso.ai we offer a highpaced collaborative supportive environment to work closely with an international and highly motivated team
- You ll get to work with cuttingedge technologies and products
- Gain handson experience working with customers Fortune 500 governmental enterprises and startups worldwide
- Remote working enjoy flexibility instead of spending hours a day commuting to work in heavy traffic
- Opportunity to grow with us as part of a fastgrowing startup
Get in touch! We are looking forward to hearing from you!
- Provide AI/ML environments to automate end-to-end data flows - Design and maintain platform services with CI/CD pipelines - Experience with Microservice architecture, Models as a Service and RESTful APIs - Keep up to date with the latest ML and computer vision technologies - Working closely with the Data Science and Backend teams