At a Glance
- Tasks: Create innovative computer vision solutions to drive sustainability in a dynamic environment.
- Company: Fast-growing start-up focused on sustainability and innovation.
- Benefits: Attractive salary, share options, matching pension, and travel opportunities.
- Other info: Join a supportive team and grow your career in a fast-paced start-up.
- Why this job: Make a real impact with cutting-edge technology while working remotely or hybrid.
- Qualifications: Experience with Tensorflow, Keras, and strong coding skills in Python, Java, or C++.
The predicted salary is between 60000 - 80000 € per year.
A fully remote or hybrid work opportunity, reporting to the Chief Engineering, you will work closely with our engineers and the product manager to create unique solutions from proprietary data sets to help drive sustainability and innovation in the world’s largest industry.
What does the job entail?
- Chance to work with a unique data set;
- Use the data to research, design, implement, and deploy scalable computer vision, deep learning, and image processing solutions to discover visual and associated textual relationships.
- Develop tools to assist with algorithm development, algorithm testing, and image quality evaluation and validation.
- Work closely with infrastructure engineers to make sure that your algorithms will effectively scale to large data sets and to ensure that their systems provide the flexibility needed for your ideas to become visible and real.
- Measure the impact of your changes and come up with ideas for how to maximize that impact.
- Prepare the reporting of data analysed in visual form.
- Opportunity to grow and scale a team.
What kind of experience do you need?
- Experience using frameworks such as Tensorflow, Keras, Pytorch.
- Experiences with computer vision project using image classification, object detection, image segmentation and image mask.
- Deep understanding of machine learning model hosting for inference and model optimization.
- Coding skills in Python, Java or C++.
- Ability to work in a fast-paced start-up environment.
- Bachelor's degree in statistics, machine learning, or related discipline.
- PhD or Masters in Computer Science/Electrical Engineering or related fields with a focus on Computer Vision, emerging talent welcome to apply.
- Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis.
- Proficiency with a statistical analysis package and associated scripting languages such as Python, R, Matlab, SAS.
Company Benefits
- Attractive remuneration.
- New and exciting work to make a more sustainable world.
- Share option scheme in a fast-growing start-up.
- Matching pension opportunity.
- Travel to our offices.
- Work with exciting and supportive team members.
Computer Vision / ML Scientist employer: Delvify
Join a forward-thinking company that prioritises sustainability and innovation, offering a fully remote or hybrid work environment. With attractive remuneration, a share option scheme, and opportunities for personal and professional growth, you'll collaborate with a supportive team to develop cutting-edge computer vision solutions that make a real impact in the world’s largest industry.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision / ML Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech enthusiasts. 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 projects, especially those involving computer vision and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission to drive sustainability and innovation.
We think you need these skills to ace Computer Vision / ML Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with Tensorflow, Keras, or Pytorch, and any relevant computer vision projects you've worked on. We want to see how you can contribute to our mission!
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 your background aligns with our goals at StudySmarter. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on any cool projects related to image classification, object detection, or deep learning, make sure to mention them! Include links to your GitHub or portfolio if you have one. We’re keen to see your work in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Delvify
✨Know Your Tech Stack
Make sure you’re well-versed in the frameworks mentioned in the job description, like TensorFlow, Keras, and PyTorch. Brush up on your coding skills in Python, Java, or C++ as you might be asked to solve a problem on the spot.
✨Showcase Your Projects
Prepare to discuss specific computer vision projects you've worked on, especially those involving image classification, object detection, or segmentation. Be ready to explain your thought process, the challenges you faced, and how you overcame them.
✨Understand the Business Impact
Think about how your work can drive sustainability and innovation. Be prepared to discuss how you measure the impact of your algorithms and any ideas you have for maximising that impact in a real-world context.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s approach to data sets and algorithm development. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
