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- Tasks: Design engineering solutions and validate AI outcomes using Python.
- Company: Leading AI project organisation in the UK with a focus on innovation.
- Benefits: Competitive pay up to $35/hour and flexible, part-time work.
- Why this job: Join exciting projects and make a real impact in the automotive AI field.
- Qualifications: Degree in Automotive Engineering and 3 years of relevant experience.
- Other info: Perfect for specialists seeking non-permanent, project-based roles.
The predicted salary is between 26 - 35 £ per hour.
A leading AI project organization in the UK is looking for automotive engineers for part-time, project-based roles. Candidates should have a degree in Automotive Engineering or related fields and at least 3 years of experience.
Responsibilities include:
- Designing engineering problems
- Evaluating AI outcomes
- Validating results using Python
The position offers competitive pay, with rates up to $35/hour. This opportunity is ideal for specialists seeking flexible, non-permanent work on innovative projects.
Automotive AI Engineer & Python Validator (Project-Based) employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Automotive AI Engineer & Python Validator (Project-Based)
✨Tip Number 1
Network like a pro! Reach out to your connections in the automotive and AI sectors. Attend industry events or webinars to meet potential employers and showcase your skills.
✨Tip Number 2
Show off your projects! Create a portfolio that highlights your experience with automotive engineering and Python validation. This will give you an edge when discussing your qualifications during interviews.
✨Tip Number 3
Prepare for technical interviews! Brush up on your problem-solving skills and be ready to discuss how you've tackled engineering challenges in the past. Practice coding problems in Python to demonstrate your expertise.
✨Tip Number 4
Apply through our website! We’ve got loads of exciting project-based roles waiting for you. Don’t miss out on the chance to work on innovative projects while enjoying flexible hours.
We think you need these skills to ace Automotive AI Engineer & Python Validator (Project-Based)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in Automotive Engineering and Python validation. We want to see how your skills align with the role, so don’t hold back on showcasing your best projects!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their background with what we’re looking for in an Automotive AI Engineer.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your qualifications and experiences.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the easiest way for us to review your details and get back to you quickly. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Mindrift
✨Know Your Stuff
Make sure you brush up on your automotive engineering knowledge and AI concepts. Be ready to discuss specific projects you've worked on, especially those involving Python validation. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled engineering problems in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly demonstrate your thought process and how you evaluate AI outcomes.
✨Get Familiar with Python
Since validating results using Python is a key part of the role, make sure you can discuss your experience with it confidently. Consider doing a quick refresher on relevant libraries or frameworks that are commonly used in automotive AI projects.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the types of projects you'll be working on or how the team evaluates AI outcomes. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
