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- Tasks: Optimise AI models and prototype innovative solutions in a collaborative team.
- Company: Leading technology solutions provider with a focus on cutting-edge AI.
- Benefits: Competitive hourly rate and hybrid work model for flexibility.
- Why this job: Join a dynamic team and enhance your skills in AI and machine learning.
- Qualifications: Expertise in Python and Rust, plus knowledge of machine learning fundamentals.
- Other info: 6-month contract with opportunities for professional growth.
The predicted salary is between 22 - 26 £ per hour.
A technology solutions provider is seeking a skilled professional for a 6-month contract focused on AI model optimization and prototyping. The role requires strong expertise in Python and Rust, along with solid knowledge of machine learning fundamentals. You will work in a hybrid model with a minimum of 3 days onsite, collaborating with a multidisciplinary team to enhance system performance. Competitive hourly rate based on experience is offered.
Senior AI Systems Engineer - On-Device ML & Open-Source employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Systems Engineer - On-Device ML & Open-Source
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and machine learning space. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and Rust, especially those related to AI model optimisation. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your machine learning fundamentals. Be ready to discuss your past experiences and how they relate to the role. Practise common technical questions and be prepared to solve problems on the spot.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior AI Systems Engineer - On-Device ML & Open-Source
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and Rust right from the get-go. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with AI model optimisation and machine learning fundamentals.
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your background fits the job description and how you can contribute to enhancing system performance. We love seeing candidates who take the time to connect their experience with what we’re looking for!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your key achievements stand out!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Microtech Global Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python and Rust skills before the interview. Be ready to discuss specific projects where you've optimised AI models or worked with machine learning fundamentals. This will show that you’re not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Collaboration Skills
Since this role involves working with a multidisciplinary team, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve worked with different departments or skill sets to achieve a common goal.
✨Prepare for Practical Scenarios
Expect to face some practical questions or scenarios during the interview. Think about how you would approach optimising an AI model or prototyping a solution. Practising these scenarios can help you articulate your thought process clearly.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the company. Inquire about the current challenges they face with AI systems or how they envision the future of on-device ML. This demonstrates your enthusiasm and forward-thinking mindset.
