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Senior Machine Learning Engineer – Video AI(m/w/x)
At healthtech firm, developing learning-based solutions for medical data analysis, processing surgical videos for event detection. Experience with state-of-the-art ML tooling (containerization, orchestration) required. Subsidized catering service, Gold Gym membership.
Requirements
- Degree in Computer Science, natural sciences, or similar background
- 3+ years experience in modern ML and classic computer vision for image processing
- Experience in state-of-the-art ML tooling (experiment management, containerization, orchestration, processing pipelines, data version control)
- Profound experience developing complex software in Python and/or other languages
- Experience from industrial projects or relevant PhD (ideally)
- Good knowledge in cloud-based computing environments setup/operation (ideally AWS) (plus)
- Experience with AI-based products in med tech industry (plus)
Tasks
- Develop applications and services on the Snke platform
- Extract data points to improve surgical outcomes
- Develop learning-based solutions for medical data analysis
- Process surgical videos for event detection, segmentation, and object detection
- Engineer requirements for ML projects
- Process data for machine learning
- Conduct ML experimentation
- Develop and train machine learning models
- Deploy machine learning solutions
- Advance intelligent software for surgical analysis
- Utilize increasing video data for analysis
- Develop and productize AI video solutions for medical use-cases
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
Benefits
Flexible Working
- Flexible working hours
Informal Culture
- Mutually-supportive international team
Parking & Commuter Benefits
- Secure bicycle storage
Free or Subsidized Food
- Subsidized catering service
Healthcare & Fitness
- Subsidized Gold Gym membership
Modern Office
- Centrally located modern workspaces
- 212m² roof terrace
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Senior Machine Learning Engineer – Video AI(m/w/x)
At healthtech firm, developing learning-based solutions for medical data analysis, processing surgical videos for event detection. Experience with state-of-the-art ML tooling (containerization, orchestration) required. Subsidized catering service, Gold Gym membership.
Requirements
- Degree in Computer Science, natural sciences, or similar background
- 3+ years experience in modern ML and classic computer vision for image processing
- Experience in state-of-the-art ML tooling (experiment management, containerization, orchestration, processing pipelines, data version control)
- Profound experience developing complex software in Python and/or other languages
- Experience from industrial projects or relevant PhD (ideally)
- Good knowledge in cloud-based computing environments setup/operation (ideally AWS) (plus)
- Experience with AI-based products in med tech industry (plus)
Tasks
- Develop applications and services on the Snke platform
- Extract data points to improve surgical outcomes
- Develop learning-based solutions for medical data analysis
- Process surgical videos for event detection, segmentation, and object detection
- Engineer requirements for ML projects
- Process data for machine learning
- Conduct ML experimentation
- Develop and train machine learning models
- Deploy machine learning solutions
- Advance intelligent software for surgical analysis
- Utilize increasing video data for analysis
- Develop and productize AI video solutions for medical use-cases
Work Experience
- 3 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS
Benefits
Flexible Working
- Flexible working hours
Informal Culture
- Mutually-supportive international team
Parking & Commuter Benefits
- Secure bicycle storage
Free or Subsidized Food
- Subsidized catering service
Healthcare & Fitness
- Subsidized Gold Gym membership
Modern Office
- Centrally located modern workspaces
- 212m² roof terrace
About the Company
Snke
Industry
Healthcare
Description
The company is transforming healthtech with scalable, data-driven innovation powered by AI and big data analytics.
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