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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 waves in machine learning and voice technology.
- Qualifications: Fluency in Arabic and English, experience with ML models, and Python skills.
- Other info: Ideal for those seeking to make a real difference in tech.
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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving speech models. 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 technical knowledge and practising common ML interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Part-Time Arabic Speech ML Engineer — Ship & Scale Models
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning models and your fluency in Arabic and English. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing passion and personality, so let us know what drives you!
Showcase Your Technical Skills: Since we’re looking for someone with proficiency in Python and frameworks like PyTorch or TensorFlow, make sure to mention any specific projects or experiences that demonstrate your technical prowess. We want to know what you can bring to the table!
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 and submit your materials!
How to prepare for a job interview at Stealth AI Startup
✨Know Your Models
Make sure you brush up on the machine learning models you've worked with, especially in speech and voice recognition. Be ready to discuss specific projects where you've improved models, and how you approached challenges. This will show your hands-on experience and understanding of the field.
✨Fluency Matters
Since fluency in Arabic and English is key for this role, practice discussing technical concepts in both languages. You might be asked to explain your work or ideas in Arabic, so being comfortable switching between the two will definitely give you an edge.
✨Show Your Ownership Mindset
Prepare examples that demonstrate your ownership mindset. Think about times when you took initiative in a project or solved a problem independently. This will resonate well with the startup culture and show that you're proactive and responsible.
✨Familiarise Yourself with Frameworks
Since proficiency in Python and frameworks like PyTorch or TensorFlow is essential, make sure you can discuss your experience with these tools confidently. Bring up specific instances where you used them to solve problems or improve models, as this will highlight your technical skills.
