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- Tasks: Unify automotive data and build AI solutions for enterprise customers.
- Company: Leading tech company in automotive solutions with a focus on innovation.
- Benefits: Competitive salary, flexible hours, and generous equity options.
- Why this job: Join a collaborative team and make an impact in the automotive industry.
- Qualifications: Experience in deploying AI products, SQL, Python, and cloud platforms.
- Other info: Dynamic work environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A tech company in automotive solutions is seeking a Technical Solutions Engineer in Greater London. This role involves unifying automotive data for enterprise customers, collaborating with sales and engineering teams, and building solutions using AI.
Candidates should have experience in deploying AI products, proficiency in SQL and Python, and a strong understanding of cloud platforms.
The company offers competitive salaries, flexible working hours, and generous equity options, promoting a collaborative and innovative work environment.
AI Data Solutions Engineer – Global Enterprise employer: Partly
Contact Detail:
Partly Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Solutions Engineer – Global Enterprise
✨Tip Number 1
Network like a pro! Reach out to folks in the automotive tech space, especially those who work with AI solutions. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you've got projects or experiences that highlight your SQL, Python, or cloud platform expertise, make sure to discuss them during interviews. We want to see how you can bring value to our team!
✨Tip Number 3
Prepare for technical questions! Brush up on your knowledge of AI product deployment and be ready to tackle real-world scenarios. We love candidates who can think on their feet and demonstrate their problem-solving skills.
✨Tip Number 4
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 innovative team at the forefront of automotive solutions.
We think you need these skills to ace AI Data Solutions Engineer – Global Enterprise
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI products, SQL, and Python. We want to see how your skills align with the role of an AI Data Solutions Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in automotive solutions can benefit us. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges using AI or data solutions. We’re looking for innovative thinkers who can collaborate with our sales and engineering teams to build effective solutions.
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 follow the prompts!
How to prepare for a job interview at Partly
✨Know Your Tech Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've deployed AI products, as this will show your hands-on experience and technical prowess.
✨Understand the Company’s Vision
Research the tech company’s role in the automotive solutions space. Familiarise yourself with their products and how they leverage AI to unify data for enterprise customers. This knowledge will help you align your answers with their goals.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with sales and engineering teams, think of examples from your past experiences where you successfully collaborated across departments. Highlight your communication skills and how you can bridge gaps between technical and non-technical teams.
✨Showcase Your Cloud Knowledge
As cloud platforms are crucial for this role, be prepared to discuss your experience with them. Whether it’s AWS, Azure, or Google Cloud, mention specific instances where you’ve used these platforms to build or deploy solutions.
