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Day 14
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Computer Vision and Machine Learning Intern [IDA:00076]
Singapore, Singapore
Live, first seen by us 14 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Before you apply
- New graduates
- For current students
Job title: Computer Vision and Machine Learning Intern [IDA:00076]
What you’ll work on
Full postingDevelop and optimize AI models for image extraction
Perform feature extraction on facial images dataset
Convert extracted features into a format useful for further processing
Help research engineers develop proof-of-concept demonstrators
From the employer’s posting
Develop and optimize AI models for image extraction.
Perform feature extraction on facial images dataset.
Convert extracted features into meaningful format useful for further processing
Work with Research Engineers to further develop the Proof of concepts / Demonstrators
What you’ll bring
All qualificationsCore experience
- Master's student in machine learning with a focus on computer vision
- Strong understanding of Python and ML libraries (NumPy, Pandas, scikit-learn)
- Experience with PyTorch and OpenCV
- Good understanding of computer vision models and image processing
- Version control with git and GitHub/GitLab
Qualification wording
Looking for a master's student in the area of Machine Learning with a focus on Computer Vision
Strong understanding of Python and ML Libraries (Numpy, Pandas, Sci-kit learn)
Experience with Pytorch, OpenCV
Good Understanding of Computer Vision models and image processing
Version control with git and Github/Gitlab
Education & alternatives
Job Description • Looking for a master's student in the area of Machine Learning with a focus on Computer Vision • Develop and optimize AI models for image extraction. Perform feature extraction on facial images dataset.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 21, 202614 days ago
- Recorded sightings
- 102
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Aumovio is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down quickly
- 17% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- NumPy
- pandas
- PyTorch
Where the posting names them
Qualifications • Strong understanding of Python and ML Libraries (Numpy, Pandas, Sci-kit learn) • Experience with Pytorch, OpenCV
• Strong understanding of Python and ML Libraries (Numpy, Pandas, Sci-kit learn) • Experience with Pytorch, OpenCV • Good Understanding of Computer Vision models and image processing
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
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- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Job Description
• Looking for a master's student in the area of Machine Learning with a focus on Computer Vision
• Develop and optimize AI models for image extraction. Perform feature extraction on facial images dataset.
• Convert extracted features into meaningful format useful for further processing
• Work with Research Engineers to further develop the Proof of concepts / Demonstrators
Qualifications
• Strong understanding of Python and ML Libraries (Numpy, Pandas, Sci-kit learn)
• Experience with Pytorch, OpenCV
• Good Understanding of Computer Vision models and image processing
• Version control with git and Github/Gitlab
• Ability to research and work with minimal supervision
Additional Information
Ready to take your career to the next level? The future of mobility isn’t just anyone’s job. Make it yours! Join AUMOVIO. Own What’s Next.
Company Description
Since its spin-off in September 2025 AUMOVIO continues the business of the former Continental group sector Automotive as an independent company. The technology and electronics company offers a wide-ranging portfolio that makes mobility safe, exciting, connected, and autonomous. This includes sensor solutions, displays, braking and comfort systems as well as comprehensive expertise in software, architecture platforms, and assistance systems for software-defined vehicles. In the fiscal year 2024 the business areas, which now belong to AUMOVIO, generated sales of 19.6 billion Euro. The company is headquartered in Frankfurt, Germany and has about 87.000 employees in more than 100 locations worldwide.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Singapore, Singapore
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.