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- Tasks: Join our team to develop and deploy cutting-edge computer vision solutions.
- Company: Weaveroo, a forward-thinking tech company focused on R&D.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact in the exciting field of computer vision and machine learning.
- Qualifications: Bachelor's or Master's degree with experience in computer vision and programming.
- Other info: Collaborative environment with a focus on innovation and learning.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a talented and experienced engineer with a background in computer graphics to join our Product Development team in Weaveroo. You will be working alongside a team from various engineering fields, so you must be a productive and collaborative member working towards the goal of pushing R&D technologies to production.
Responsibilities include:
- Being thorough in the theory of image processing and computer vision: Image processing, image annotation and transformations, optimization and estimation, significant point detection and image descriptors.
- Building and deploying computer vision solutions either on the edge or cloud.
- Experimenting with new machine learning algorithms suitable for the business use cases.
- Analysing the performance of models and related business metrics and providing insights.
- Understanding the client’s business to articulate the business problem, create relevant solutions using technical knowledge, and deploy the solutions to drive revenue.
- Optimising and tuning the solutions/models for the client context.
- Communicating with end clients on solutions, recommendations, and performance.
- Collaborating and working closely with several key stakeholders (account, engineering, product, and R&D managers) to drive revenue.
Educational Qualifications:
- Bachelor's or Master's degree from reputed institutes with relevant R&D experience in one of the following fields:
- Computer Vision
- Image Processing
- Machine Learning and Artificial Intelligence
- Video Processing
Desired Hard Skills:
- 1 to 2 years' experience in using computer vision & toolkits e.g., OpenCV etc.
- Experience with general-purpose programming languages e.g., C/C++, Java, Python.
- Experience in Deep Learning (Tensorflow, Torch).
- Experience working with Databases and SQL Queries (optional).
- Experience in Amazon SageMaker (optional) or similar.
Desired Soft Skills:
- Excellent communication skills.
- Analytical skills.
- Good presentation skills.
- Attention to details.
- Willingness to learn new technologies.
Data Scientist (Computer Vision Scientist) (Remote) in Croydon employer: Corvid consulting
Contact Detail:
Corvid consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Computer Vision Scientist) (Remote) in Croydon
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your computer vision projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around image processing and machine learning algorithms. Practice common interview questions and be ready to discuss how you've tackled real-world problems.
✨Tip Number 4
Apply through our website! We love seeing applications come directly from passionate candidates. Tailor your application to highlight your relevant experience and show us why you're the perfect fit for the Data Scientist role.
We think you need these skills to ace Data Scientist (Computer Vision Scientist) (Remote) in Croydon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computer vision and image processing. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about computer vision and how you can contribute to our team. Be sure to mention any specific experiences that relate to the role.
Showcase Your Technical Skills: We love seeing practical examples of your work! If you’ve built or deployed any computer vision solutions, include links to your projects or GitHub. This gives us a better idea of your hands-on experience and problem-solving abilities.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Corvid consulting
✨Know Your Stuff
Make sure you brush up on your knowledge of image processing and computer vision. Be ready to discuss specific algorithms you've worked with, like those in OpenCV or TensorFlow. The more you can demonstrate your understanding of these concepts, the better you'll impress the interviewers.
✨Showcase Your Projects
Prepare to talk about your previous projects involving computer vision or machine learning. Highlight your role, the challenges you faced, and how you overcame them. This will show that you not only have theoretical knowledge but also practical experience.
✨Communicate Clearly
Since this role involves collaborating with various stakeholders, practice explaining complex technical concepts in simple terms. Think about how you would articulate a business problem and your proposed solution to someone without a technical background.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you might work on, or how they measure success in their computer vision initiatives. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
