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- Tasks: Enhance speech and voice models while bridging research and deployment.
- Company: Innovative tech startup in the UK with a focus on cutting-edge technology.
- Benefits: Flexible part-time hours, dynamic work environment, and impactful projects.
- Why this job: Join a team making a real difference in machine learning and voice technology.
- Qualifications: Fluency in Arabic and English, experience with ML models, and Python skills.
- Other info: Ideal for those pursuing a Master's or PhD with an ownership mindset.
The predicted salary is between 20 - 25 £ per hour.
A cutting-edge technology startup in the United Kingdom is seeking a part-time Machine Learning Engineer. In this hands-on role, you will improve existing speech and voice models in production, bridging the gap between research and deployment.
The ideal candidate should have:
- Fluency in Arabic and English
- Experience with machine learning models
- Proficiency in Python using frameworks like PyTorch or TensorFlow
- A Master's or PhD in a relevant field
- An ownership mindset
This position offers the chance to work in a dynamic and impactful environment.
Part-Time Arabic Speech ML Engineer — Ship & Scale Models in London employer: Stealth AI Startup
Contact Detail:
Stealth AI Startup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Part-Time Arabic Speech ML Engineer — Ship & Scale Models in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to speech and voice models. We love seeing practical examples of what you can do, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to machine learning. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who fit our dynamic environment.
We think you need these skills to ace Part-Time Arabic Speech ML Engineer — Ship & Scale Models in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning models and any relevant projects you've worked on. We want to see how you can bridge the gap between research and deployment, so don’t hold back!
Fluency Matters: Since fluency in Arabic and English is key for this role, be sure to mention your language skills clearly. If you have any certifications or experiences that showcase your language proficiency, include those too!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your background aligns with our needs, especially your experience with Python and frameworks like PyTorch or TensorFlow. We love seeing candidates who take the time to connect the dots!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Stealth AI Startup
✨Know Your Models
Make sure you brush up on the latest advancements in speech and voice models. Be ready to discuss your experience with machine learning frameworks like PyTorch or TensorFlow, and have specific examples of how you've improved models in the past.
✨Showcase Your Bilingual Skills
Since fluency in Arabic and English is key for this role, prepare to demonstrate your language skills during the interview. You might be asked to explain technical concepts in both languages, so practice switching between them smoothly.
✨Demonstrate Ownership Mindset
This position values an ownership mindset, so come prepared with examples of how you've taken initiative in previous projects. Highlight situations where you identified problems and implemented solutions independently.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to bridging research and deployment in machine learning. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
