At a Glance
- Tasks: Join our team to innovate in AI & Machine Learning for computer vision.
- Company: Aicadium, a forward-thinking tech company focused on growth and collaboration.
- Benefits: Competitive salary, opportunities for professional growth, and a dynamic work environment.
- Other info: Collaborative culture with a focus on solving real-world challenges.
- Why this job: Make a real impact in the exciting field of computer vision and AI.
- Qualifications: 3+ years in CV/ML, strong Python skills, and a passion for learning.
The predicted salary is between 70000 - 90000 £ per year.
Aicadium is searching for a CV Scientist who is passionate about AI & Machine Learning in the computer vision space, to join our team and help lead Aicadium into new growth areas.
We seek high-energy team members with a positive attitude and a continual drive to learn and grow both professionally and personally.
Responsibilities
- Leverage hands-on experience in modeling to use, improve, fine-tune, and customise computer vision (CV) models, spanning both deep learning approaches (e. g. object detection, tracking, segmentation, visual embeddings) and classical techniques (e. g. multi-view geometry, camera calibration, feature extraction and matching).
- Design and implement geometric vision solutions where deep learning alone is insufficient — including 3D reconstruction, pose estimation, stereo vision, and structure-from-motion.
- Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
Apply expertise in working with images, video, 3D data, and sensor fusion for custom ML solutions.
- Stay up-to-date with the latest advancements and SOTA in computer vision.
- Enable new capabilities for Aicadium products and tools in the industrial computer vision (ICV) ML domain.
- Collaborate with cross-functional teams to develop innovative solutions.
- Address unsolved problems in ICV.
- Required skills and experience
- Strong foundation in classical computer vision, including multi-view geometry, camera models and calibration, epipolar geometry, and image processing fundamentals.
- Hands-on experience with deep learning for CV, including object detection, object tracking, semantic/instance segmentation, and the use of visual embeddings for retrieval or matching tasks.
- Experience in data curation, model training, and customisation for solving real-world CV challenges.
- Proven experience building, optimizing, and deploying scalable, production‑grade computer vision pipelines.
- Excellent proficiency in Python for CV and ML, and familiarity with common frameworks and libraries (e. g. Py Torch, Open CV).
- 3+ years of full-time experience in CV and ML.
- Strong analytical and practical problem‑solving skills.
- Excellent teamwork spirit and written and verbal communication skills.
- A drive to learn and master new technologies and techniques.
- Ability to work independently and with team members from different backgrounds.
- M. Sc. or Ph. D. in STEM+ area.
- Applicants must already have the legal right to work in Singapore. We are unable to provide work pass sponsorship for this position.
- Good to have
- Experience with multimodal models and vision‑language modeling.
- Exposure to VR/AR applications or multimodal data pipelines.
- Familiarity with SLAM, visual odometry, or real‑time 3D perception systems.
- Strong work and publication record in the CV/ML domain.
- #J-18808-Ljbffr
Computer Vision Scientist employer: AICADIUM SINGAPORE PTE. LTD.
Aicadium is an exceptional employer for a Computer Vision Scientist, offering a dynamic work environment in Singapore that fosters innovation and collaboration. With a strong emphasis on professional growth, employees are encouraged to continually learn and develop their skills in cutting-edge AI and machine learning technologies. The company promotes a positive work culture where teamwork and creativity thrive, making it an ideal place for those looking to make a meaningful impact in the field of computer vision.
Contact Details:
AICADIUM SINGAPORE PTE. LTD. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like AICADIUM SINGAPORE PTE. LTD.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Computer Vision Scientist at AICADIUM SINGAPORE PTE. LTD..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like AICADIUM SINGAPORE PTE. LTD..
✨Apply Directly through Our Website
When you find a suitable opening like Computer Vision Scientist at AICADIUM SINGAPORE PTE. LTD., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Computer Vision Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at AICADIUM SINGAPORE PTE. LTD., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at AICADIUM SINGAPORE PTE. LTD.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at AICADIUM SINGAPORE PTE. LTD.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at AICADIUM SINGAPORE PTE. LTD.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
