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- Tasks: Ensure reliability of the Vision Agentic Platform and deploy AI in challenging environments.
- Company: Innovative tech firm based in Greater London with a focus on cutting-edge solutions.
- Benefits: Competitive compensation, equity options, and a dynamic work environment.
- Other info: Exciting opportunities for growth and impact in a fast-paced industry.
- Why this job: Join a team tackling real-world engineering challenges that enhance safety in mining.
- Qualifications: Strong skills in AWS, NVIDIA Jetson, and real-time event streaming required.
The predicted salary is between 50000 - 65000 £ per year.
A technology firm in Greater London seeks a Systems Engineer to ensure the reliability and performance of the Vision Agentic Platform. The role focuses on deploying AI in harsh industrial environments, managing real-time data synchronization, and building infrastructure for edge devices.
Candidates should possess strong skills in AWS, NVIDIA Jetson, and real-time event streaming.
Join a dynamic team that tackles engineering challenges that directly impact safety in mining operations. Competitive compensation and equity offered.
Edge & Cloud Vision AI Systems Engineer employer: MISTI AI
Contact Detail:
MISTI AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Edge & Cloud Vision AI Systems Engineer
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and engineering fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for the industry.
✨Tip Number 2
Prepare for technical interviews by brushing up on your AWS and NVIDIA Jetson skills. Practice coding challenges and real-time data scenarios that could come up during the interview process. We want you to feel confident and ready to tackle those engineering challenges!
✨Tip Number 3
Showcase your projects! If you've worked on any relevant projects involving edge devices or AI, make sure to highlight them in your conversations. We love seeing practical applications of your skills and how you can contribute to our Vision Agentic Platform.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our dynamic team and tackling those exciting engineering challenges together.
We think you need these skills to ace Edge & Cloud Vision AI Systems Engineer
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your experience with AWS, NVIDIA Jetson, and real-time event streaming in your application. We want to see how your skills align with the needs of our Vision Agentic Platform.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your background fits the role of Systems Engineer. We love seeing candidates who take the time to connect their experiences to what we do.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at MISTI AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS, NVIDIA Jetson, and real-time event streaming. Brush up on how these technologies apply to edge devices and industrial environments. Being able to discuss specific projects or experiences where you've used these tools will really impress the interviewers.
✨Understand the Vision Agentic Platform
Familiarise yourself with the Vision Agentic Platform and its applications in harsh industrial settings. Research how AI is deployed in mining operations and be ready to discuss how you can contribute to enhancing safety and performance through your engineering skills.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-time data synchronization and edge device management. Think of examples from your past work where you tackled similar challenges and be prepared to explain your thought process and solutions.
✨Show Your Team Spirit
This role is part of a dynamic team, so highlight your collaborative skills. Share experiences where you worked effectively with others to solve engineering problems. Emphasising your ability to communicate and collaborate will show that you’re a great fit for their team culture.