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- Tasks: Develop deep learning models for computer vision tasks and support machine learning products.
- Company: Join an innovative AI startup transforming industries like healthcare and agriculture.
- Benefits: Enjoy a hybrid work environment and collaborate with top experts in the field.
- Why this job: Work on impactful projects that redefine AI capabilities across diverse sectors.
- Qualifications: Experience in Computer Vision and proficiency in Python and ML tools required.
- Other info: Two positions available for immediate consideration!
The predicted salary is between 48000 - 84000 £ per year.
Senior Data Scientist – Computer Vision / AI Data Scientist
HYBRID – BRISTOL
2 positions available!
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'll 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 in your discussions. Highlight specific challenges you've tackled and the impact of your solutions, as this will resonate well with the hiring team.
✨Tip Number 2
Stay updated on the latest advancements in deep learning and computer vision. Being able to discuss recent trends or breakthroughs during your conversations can demonstrate your passion and commitment to the field.
✨Tip Number 3
Familiarize yourself with the key architectures mentioned in the job description, like Vision Transformers and DeepLabv3. Being able to discuss these frameworks and how you've used them in past projects can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've applied machine learning to solve real-world problems. Sharing concrete examples of your work will help illustrate your skills and show that you can contribute effectively to their team.
We think you need these skills to ace SENIOR DATA SCIENTIST - Computer Vision - Hybrid
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with computer vision and deep learning in your CV and cover letter. Use specific examples of projects you've worked on that demonstrate your skills in these areas.
Showcase Technical Skills: Clearly list your proficiency in Python and relevant ML tools like Scikit-Learn, NumPy, Pandas, PyTorch, TensorFlow, or Keras. Mention any specific architectures you have worked with, such as Vision Transformers or DeepLabv3.
Tailor Your Application: Customize your application materials to reflect the job description. Use keywords from the job listing to align your experience with what the company is looking for, particularly in terms of AI innovation and real-world applications.
Express Enthusiasm for AI: In your cover letter, convey your passion for AI and its potential to transform industries. Discuss why you are excited about the opportunity to work on cutting-edge computer vision projects and how you can contribute to the company's mission.
How to prepare for a job interview at ARCA
✨Showcase Your Computer Vision Expertise
Be prepared to discuss your previous projects related to computer vision. Highlight specific challenges you faced and how you overcame them, as well as the impact of your work on real-world applications.
✨Demonstrate Your Knowledge of Deep Learning
Familiarize yourself with the latest advancements in deep learning and be ready to discuss key architectures like Vision Transformers and DeepLabv3. This will show that you are not only knowledgeable but also passionate about the field.
✨Prepare for Technical Questions
Expect technical questions related to Python and machine learning tools such as Scikit-Learn, NumPy, and TensorFlow. Brush up on your coding skills and be ready to solve problems on the spot.
✨Emphasize Collaboration Skills
Since the role involves working with cross-functional teams, be sure to highlight your experience in collaboration. Share examples of how you've successfully worked with product and engineering teams to deliver AI solutions.
