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- Tasks: Join a start-up revolutionising agriculture with AI and drones to enhance crop yields.
- Company: An innovative agritech company focused on sustainable farming solutions.
- Benefits: Remote work options, incredible progression opportunities, and a chance to shape the future of farming.
- Why this job: Be part of a game-changing team in a booming industry with a strong social impact.
- Qualifications: Strong background in Computer Vision, Deep Learning, and familiarity with PyTorch or similar frameworks.
- Other info: This is a permanent role based remotely within the UK or Europe.
The predicted salary is between 42500 - 68500 £ per year.
The agritech market is booming, and this new opportunity is a perfect example of this. The company is focused on improving orchards, using AI and drones to track and personalise treatment for each crop, giving better yields more sustainably. This is an early-stage opportunity to get on board with a company that is going to cause big waves in the agriculture industry, and will let you grow with the company, offering incredible progression opportunities.
As a start-up, they’ve had a lot of big ideas but haven’t had the chance to put them in motion until now, which is why they need your help. You’re (hopefully) a Computer Vision specialist with a strong background in Deep Learning/Machine Learning, and a good understanding of convolutional neural networks. Pytorch is the main framework they use, but they’re open to other options.
You can be based remotely anywhere in the UK or Europe, but visa sponsorship won’t be on offer. If you think this sounds like you, let me know. If you’re looking for your next position, you’ve found it – apply below.
- Job Reference: BBBH6771_1629798228
- Salary From: £50000
- Salary To: £58000
- Job Locations: London
- Job Types: Permanent
- Job Skills: Computer Vision, Deep Learning, ML, PyTorch
Computer Vision Engineer employer: Paratus People
Contact Detail:
Paratus People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in agritech and how AI is being applied in agriculture. This knowledge will not only help you during interviews but also show your genuine interest in the company's mission.
✨Tip Number 2
Network with professionals in the agritech sector, especially those working with computer vision and machine learning. Engaging with industry experts can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented convolutional neural networks or used PyTorch. Real-world examples will demonstrate your expertise and problem-solving skills.
✨Tip Number 4
Show enthusiasm for the start-up environment. Highlight your adaptability and willingness to take on challenges, as this role will likely involve a lot of innovation and flexibility.
We think you need these skills to ace Computer Vision Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Computer Vision Engineer. Familiarise yourself with the technologies mentioned, such as Deep Learning, Machine Learning, and PyTorch.
Tailor Your CV: Customise your CV to highlight relevant experience in computer vision, deep learning, and any projects involving AI or drones. Use specific examples that demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also expresses your enthusiasm for the agritech industry. Mention why you are excited about the opportunity to work with a start-up and how you can contribute to their goals.
Showcase Your Projects: If you have worked on relevant projects, consider including links to your portfolio or GitHub. Highlight any projects that involved convolutional neural networks or the use of PyTorch, as this will strengthen your application.
How to prepare for a job interview at Paratus People
✨Showcase Your Technical Skills
Be prepared to discuss your experience with computer vision, deep learning, and machine learning. Highlight specific projects where you've used convolutional neural networks and any relevant frameworks, especially PyTorch. This will demonstrate your expertise and how you can contribute to the company's goals.
✨Understand the Agritech Context
Research the agritech industry and understand how AI and drones are transforming agriculture. Being able to discuss current trends and challenges in this field will show your genuine interest in the role and the company’s mission.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex issues related to computer vision. This will help interviewers see how you approach challenges and develop solutions.
✨Demonstrate Adaptability and Growth Mindset
As a start-up, the company is looking for someone who can grow with them. Share examples of how you've adapted to new technologies or changing project requirements in the past. This will illustrate your flexibility and willingness to learn, which are crucial in a dynamic environment.
