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- Tasks: Enhance AI/ML model performance and scalability through deep learning optimisation.
- Company: Leading technology recruitment agency focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in AI/ML technology.
- Qualifications: Expertise in CUDA, Python, and machine learning systems required.
- Other info: Collaborative environment with a focus on maximising throughput and minimising costs.
The predicted salary is between 36000 - 60000 £ per year.
A technology recruitment agency is seeking an expert in deep learning optimization to enhance the performance and scalability of their AI/ML foundation model. The role requires significant experience in CUDA development, Python, and machine learning systems.
You will be responsible for optimizing the end-to-end ML stack, designing GPU components, and collaborating closely with the founders to meet product optimization goals.
The ideal candidate will lead initiatives to maximize throughput while reducing latency and costs.
Foundation ML Engineer: GPU & Performance Optimization employer: Talent Search PRO
Contact Detail:
Talent Search PRO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Foundation ML Engineer: GPU & Performance Optimization
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML field on LinkedIn or at tech meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving CUDA and Python. We want to see your optimisation magic in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your deep learning concepts and optimisation techniques. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you that Foundation ML Engineer role!
We think you need these skills to ace Foundation ML Engineer: GPU & Performance Optimization
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with CUDA development and Python in your application. We want to see how you've tackled performance optimisation in the past, so don’t hold back on those details!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Foundation ML Engineer role. We love seeing candidates who take the time to align their experiences with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and skills shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role as quickly as possible!
How to prepare for a job interview at Talent Search PRO
✨Know Your CUDA Inside Out
Make sure you brush up on your CUDA development skills. Be prepared to discuss specific projects where you've optimised GPU performance, and be ready to explain the techniques you used to enhance throughput and reduce latency.
✨Showcase Your Python Proficiency
Since Python is crucial for this role, come armed with examples of how you've used it in machine learning systems. Highlight any libraries or frameworks you're familiar with, and be ready to solve a coding challenge on the spot.
✨Understand the End-to-End ML Stack
Familiarise yourself with the entire machine learning pipeline. Be prepared to discuss how you’ve optimised each component, from data preprocessing to model deployment, and how these optimisations can impact overall performance.
✨Collaborate and Communicate
This role involves working closely with founders, so demonstrate your ability to collaborate effectively. Prepare to share experiences where you’ve led initiatives or worked in teams to achieve optimisation goals, showcasing your communication skills.
