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- Tasks: Enhance data infrastructure for AI model training and work on transformative products.
- Company: Speechify, a forward-thinking company in Leeds focused on impactful technology.
- Benefits: Competitive salary and the chance to support individuals with learning differences.
- Other info: Join a dynamic team dedicated to innovation and inclusivity.
- Why this job: Make a real difference while working with cutting-edge AI technologies.
- Qualifications: BS/MS/PhD in Computer Science and 5+ years of software development experience.
The predicted salary is between 50000 - 60000 £ per year.
Speechify in Leeds is seeking a skilled Software Engineer to enhance data infrastructure for AI model training. The ideal candidate will have a BS/MS/PhD in Computer Science along with 5+ years of software development experience. Proficiencies in bash/Python scripting, Docker, and cloud infrastructure, specifically GCP, are crucial.
This role promises a competitive salary and the opportunity to work on transformative products that impact millions and support individuals with learning differences.
Data Infrastructure Engineer – Ingest & Scale AI Datasets in Leeds employer: Speechify
Contact Detail:
Speechify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Infrastructure Engineer – Ingest & Scale AI Datasets in Leeds
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. 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 projects, especially those involving bash/Python scripting and cloud infrastructure. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data infrastructure and AI datasets. Practise coding challenges and be ready to discuss your past experiences in detail.
✨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 get noticed by our hiring team.
We think you need these skills to ace Data Infrastructure Engineer – Ingest & Scale AI Datasets in Leeds
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with bash/Python scripting, Docker, and GCP in your application. We want to see how your skills align with what we're looking for!
Tailor Your CV: Don’t just send a generic CV! Tailor it to the Data Infrastructure Engineer role by emphasising relevant projects and experiences. We love seeing how you’ve tackled challenges in the past.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about enhancing data infrastructure for AI and how you can contribute to our mission at Speechify.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Speechify
✨Know Your Tech Stack
Make sure you’re well-versed in bash, Python, Docker, and GCP. Brush up on your scripting skills and be ready to discuss how you've used these technologies in past projects. Being able to share specific examples will show your expertise and confidence.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you can demonstrate your approach to solving complex problems, especially those related to data infrastructure. Practice explaining your thought process clearly and concisely.
✨Understand the Company’s Mission
Familiarise yourself with Speechify's mission to support individuals with learning differences. Be ready to discuss how your work as a Data Infrastructure Engineer can contribute to this goal. Showing that you align with their values can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This not only shows your interest but also helps you gauge if the role is the right fit for you. Questions about future projects or challenges they face can lead to engaging discussions.