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- Tasks: Enhance data collection for AI model training and manage cloud infrastructure.
- Company: Join Speechify, a leader in AI technology, based in Newcastle upon Tyne.
- Benefits: Enjoy a competitive salary and the chance to shape a transformative industry.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: 5+ years in software development with skills in bash/Python, Docker, and GCP.
The predicted salary is between 50000 - 60000 £ per year.
Speechify is seeking a Software Engineer to enhance data collection for AI model training at our Newcastle upon Tyne office. The role involves finding audio data sources, managing cloud infrastructure, and collaborating with Scientists on dataset roadmaps.
Ideal candidates have:
- A BS/MS/PhD in Computer Science
- 5+ years in software development
- Skills in bash/Python, Docker, and GCP
Enjoy a competitive salary and a chance to impact a transformative industry.
Data Infrastructure Engineer — AI Data Ingestion in Newcastle upon Tyne employer: Speechify
Contact Detail:
Speechify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Infrastructure Engineer — AI Data Ingestion in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working at Speechify or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data ingestion or cloud infrastructure. This is your chance to demonstrate your expertise in bash, Python, Docker, and GCP.
✨Tip Number 3
Prepare for technical interviews by brushing up on relevant concepts. Practice coding challenges and be ready to discuss your past experiences with data collection and collaboration with scientists.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Infrastructure Engineer — AI Data Ingestion in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software development and any relevant skills like bash, Python, Docker, and GCP. We want to see how your background aligns with the role of Data Infrastructure Engineer.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI data ingestion and how you can contribute to our team. Share specific examples from your past work that demonstrate your expertise and enthusiasm.
Showcase Your Projects: If you've worked on projects related to data collection or cloud infrastructure, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 knowledge of these technologies before the interview, as you might be asked to solve problems or discuss your experience with them.
✨Showcase Your Experience
Prepare specific examples from your 5+ years in software development that highlight your skills in data collection and cloud infrastructure management. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Understand the Role's Impact
Familiarise yourself with how enhancing data collection can influence AI model training. Be ready to discuss how your contributions could help Speechify in transforming the industry and improving their products.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future goals related to AI data ingestion. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.