Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Own model deployment and optimisation for real-time computer vision in production.
- Company: Specialist tech company scaling a cutting-edge AI platform.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by optimising AI models and video pipelines.
- Qualifications: Strong Python skills, hands-on experience with PyTorch, and computer vision fundamentals.
- Other info: Dynamic role with excellent career advancement in a collaborative environment.
My Client is a specialist technology company scaling a real-time AI platform and is seeking a Senior Computer Vision Engineer to own model deployment and optimisation in production environments.
Hands-on role focused on real-time computer vision, optimising models and video pipelines under performance and latency constraints. Close collaboration with systems engineers.
Essential Skills & Experience
- Strong Python experience for ML and inference workflows
- Hands-on experience with PyTorch
- Solid grounding in computer vision fundamentals (object detection, tracking, classification)
- Experience deploying models into production environments
- Practical experience with video processing frameworks (e.g. GStreamer, FFmpeg)
- Experience optimising inference performance on GPU or edge platforms
Desirable Experience
- Edge AI or embedded GPU platforms
- Real-time or multi-stream video pipelines
- TensorRT, ONNX, or similar optimisation toolchains
- Linux-based development environments
- Containerised ML or inference deployments
- Experience balancing model accuracy vs. inference speed in constrained environments
Profile
- Sought Senior engineer who remains hands-on with models and code
- Comfortable working outside of pure research environments
- Pragmatic problem-solver who understands production trade-offs
- Enjoys debugging complex, real-world systems
- Clear communicator who documents work effectively
Interested? Please Click Apply Now!
Senior Computer Vision Engineer in Wharton employer: Adria Solutions
Contact Detail:
Adria Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Computer Vision Engineer in Wharton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. 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 related to computer vision. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve 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 take that extra step to connect with us directly.
We think you need these skills to ace Senior Computer Vision Engineer in Wharton
Some tips for your application 🫡
Read the Job Description Carefully: Before you start your application, make sure to read through the job description thoroughly. It’s packed with details about what we’re looking for in a Senior Computer Vision Engineer, and understanding these will help you tailor your application.
Showcase Your Skills: When writing your application, highlight your strong Python experience and hands-on work with PyTorch. We want to see how your skills align with our needs, so don’t hold back on showcasing your expertise in computer vision fundamentals!
Be Specific About Your Experience: Don’t just list your experiences; be specific! Talk about your practical experience with video processing frameworks like GStreamer or FFmpeg, and mention any projects where you’ve optimised models for production environments. This helps us see your real-world impact.
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’re considered for the role. Plus, it’s super easy – just click 'Apply Now' and follow the prompts!
How to prepare for a job interview at Adria Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills, especially for ML and inference workflows. Be ready to discuss your hands-on experience with PyTorch and how you've tackled real-time computer vision challenges in the past.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've optimised models and video pipelines under performance constraints. Think about specific instances where you balanced model accuracy with inference speed, as this will demonstrate your practical understanding of production trade-offs.
✨Familiarise Yourself with Video Processing Frameworks
Get comfortable discussing frameworks like GStreamer and FFmpeg. If you've worked with them before, be ready to share your experiences and any challenges you faced while deploying models into production environments.
✨Communicate Clearly and Document Well
As a Senior Engineer, clear communication is key. Practice explaining complex concepts simply and ensure you can articulate your thought process. Also, be prepared to discuss how you document your work effectively, as this is crucial for collaboration with systems engineers.
