Snke
Senior Machine Learning Engineer – Video AI(m/w/x)
Full-timeOn-siteSenior
München
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VIVisium SA
Machine Learning Software Engineer(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Implementing ML use cases for edge devices, including smartwatches. 5+ years software engineering experience with ML on edge required. Yearly education budget, flexible working culture.
Requirements
- 5+ years software engineering experience
- Strong understanding of Machine Learning and AI ecosystem
- Hands-on ML engineering experience
- ML on edge experience (Smartwatches)
- Translate business needs to technical solutions
- Strong communication and stakeholder interaction skills
- Biomedical data experience (PPG heart rate analysis)
- ML profiling and optimization on edge devices
- Mobile/wearable software engineering (Wear OS, Watch OS)
- Understanding of sensors and sensor data manipulation
- Understanding of profiling and optimization (battery, computing)
- Mid-Senior level experience
Tasks
- Design and implement complex AI/ML applications
- Optimize AI/ML applications for performance
- Lead complex software engineering projects with ML focus
- Guide customers in efficient AI usage for software engineering
- Implement ML use cases for edge devices
- Optimize ML models for edge devices
- Collaborate with senior stakeholders to align business objectives
- Balance model accuracy, latency, and hardware costs
- Mentor ML and embedded engineers
- Set architectural standards for CI/CD in edge environments
- Conduct on-device performance benchmarking
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- AI
- Wear OS
- Watch OS
Benefits
Additional Allowances
- Yearly education budget
Healthcare & Fitness
- Yearly sport budget
Flexible Working
- Flexible working culture
Purpose-Driven Work
- Impactful position
Informal Culture
- International team
- Collaborative mindset
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Visium SA and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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VIVisium SA
Machine Learning Software Engineer(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Implementing ML use cases for edge devices, including smartwatches. 5+ years software engineering experience with ML on edge required. Yearly education budget, flexible working culture.
Requirements
- 5+ years software engineering experience
- Strong understanding of Machine Learning and AI ecosystem
- Hands-on ML engineering experience
- ML on edge experience (Smartwatches)
- Translate business needs to technical solutions
- Strong communication and stakeholder interaction skills
- Biomedical data experience (PPG heart rate analysis)
- ML profiling and optimization on edge devices
- Mobile/wearable software engineering (Wear OS, Watch OS)
- Understanding of sensors and sensor data manipulation
- Understanding of profiling and optimization (battery, computing)
- Mid-Senior level experience
Tasks
- Design and implement complex AI/ML applications
- Optimize AI/ML applications for performance
- Lead complex software engineering projects with ML focus
- Guide customers in efficient AI usage for software engineering
- Implement ML use cases for edge devices
- Optimize ML models for edge devices
- Collaborate with senior stakeholders to align business objectives
- Balance model accuracy, latency, and hardware costs
- Mentor ML and embedded engineers
- Set architectural standards for CI/CD in edge environments
- Conduct on-device performance benchmarking
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Machine Learning
- AI
- Wear OS
- Watch OS
Benefits
Additional Allowances
- Yearly education budget
Healthcare & Fitness
- Yearly sport budget
Flexible Working
- Flexible working culture
Purpose-Driven Work
- Impactful position
Informal Culture
- International team
- Collaborative mindset
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Visium SA and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Visium SA
Industry
Consulting
Description
Visium enables enterprise executives in defining AI & Data strategy, executing large scale transformations and implementing AI across operations to become future-proof.
Not a perfect match?
- Snke
Senior Machine Learning Engineer – Video AI(m/w/x)
Full-timeOn-siteSeniorMünchen - Visium SA
Lead MLOps Engineer (GCP)(m/w/x)
Full-timeOn-siteSeniorMünchen, Zürich - Agile Robots
ML Research Engineer Robotics(m/w/x)
Full-timeOn-siteSeniorMünchen - Huawei Research Center Germany
AI Systems Engineer(m/w/x)
Full-timeOn-siteNot specifiedDresden, München - BMW Group
Senior ML Ops Engineer - Architecture & Strategy(m/w/x)
Full-timeOn-siteSeniorMünchen