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- Tasks: Develop deep learning models and support machine learning products in computer vision.
- Company: Join an innovative AI startup transforming industries with cutting-edge technology.
- Benefits: Enjoy a hybrid work model and collaborate with industry experts on impactful projects.
- Why this job: Shape the future of AI while working on real-world applications that matter.
- Qualifications: Experience in computer vision, deep learning, and proficiency in Python and ML tools required.
- Other info: Two positions available; apply now for immediate consideration!
The predicted salary is between 43200 - 72000 £ per year.
Unlock the Power of AI Innovation! Join my client, an AI trailblazer with an international presence, helping industries like healthcare, sports, manufacturing, and agriculture transform through advanced artificial intelligence solutions. As a Data Scientist specialising in Computer Vision, you will play a pivotal role in developing machine learning products that redefine what AI can achieve across diverse industries.
Why You Should Apply
- Be part of a revolutionary AI startup shaping the future across multiple sectors
- Work on cutting-edge computer vision projects with real-world impact
- Collaborate with experts across business, product, and engineering teams
- Contribute directly to deploying AI solutions with enterprise clients
What You’ll Be Doing
- Develop deep learning models for a range of computer vision tasks
- Define and implement assessment criteria to measure solution performance
- Stay on top of and apply recent advancements in deep learning and computer vision
- Support and maintain our suite of machine learning products
About You
- Demonstrable experience with Computer Vision
- Skilled in deep learning algorithms applied to computer vision challenges
- Knowledgeable about key architectures like Vision Transformers, DeepLabv3, and SegFormer
- Proficient in Python and ML tools, including Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras
- Capable of applying machine learning to solve real-world problems
Please apply via the link for immediate consideration!
SENIOR DATA SCIENTIST - Computer Vision - Hybrid employer: ARCA
Contact Detail:
ARCA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SENIOR DATA SCIENTIST - Computer Vision - Hybrid
✨Tip Number 1
Make sure to showcase your experience with computer vision projects during any networking opportunities. Attend relevant meetups or webinars where you can connect with professionals in the AI field, as this can lead to valuable referrals.
✨Tip Number 2
Stay updated on the latest advancements in deep learning and computer vision. Follow industry leaders on social media and engage with their content to demonstrate your passion and knowledge in interviews or discussions.
✨Tip Number 3
Consider contributing to open-source projects related to computer vision. This not only enhances your skills but also showcases your commitment to the field, making you a more attractive candidate.
✨Tip Number 4
Prepare to discuss specific machine learning models you've developed or worked on. Be ready to explain your thought process and the impact of your work, as this will highlight your practical experience and problem-solving abilities.
We think you need these skills to ace SENIOR DATA SCIENTIST - Computer Vision - Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with computer vision and deep learning. Include specific projects or achievements that demonstrate your skills in these areas, particularly with the tools mentioned like PyTorch and TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the company's mission. Mention any relevant projects you've worked on and how they relate to the role of Senior Data Scientist in Computer Vision.
Showcase Relevant Skills: Clearly outline your proficiency in key algorithms and architectures such as Vision Transformers and DeepLabv3. Provide examples of how you've applied these in real-world scenarios to solve problems.
Highlight Collaboration Experience: Since the role involves working with various teams, emphasise your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to deliver AI solutions.
How to prepare for a job interview at ARCA
✨Showcase Your Projects
Be prepared to discuss specific projects you've worked on that relate to computer vision. Highlight the challenges you faced, the solutions you implemented, and the impact your work had. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Latest Trends
Familiarise yourself with the latest advancements in deep learning and computer vision. Be ready to discuss recent papers or technologies, such as Vision Transformers or SegFormer, and how they can be applied to real-world problems. This shows your passion for the field and your commitment to staying updated.
✨Prepare for Technical Questions
Expect technical questions related to deep learning algorithms and their applications in computer vision. Brush up on key concepts and be ready to explain your thought process when solving problems. Practising coding challenges in Python can also be beneficial.
✨Demonstrate Collaboration Skills
Since the role involves working with cross-functional teams, be prepared to discuss your experience collaborating with others. Share examples of how you've effectively communicated complex ideas to non-technical stakeholders and contributed to team success.
