At a Glance
- Tasks: Build scalable AI data pipelines and manage large datasets for model training.
- Company: Join Speechify, a fast-growing tech company in Birmingham with a focus on innovation.
- Benefits: Enjoy competitive salaries and a diverse, inclusive workplace.
- Other info: Thriving environment with opportunities for professional growth and creativity.
- Why this job: Make an impact in AI by working on cutting-edge data infrastructure projects.
- Qualifications: Proficiency in software development and cloud infrastructure, especially GCP.
The predicted salary is between 50000 - 65000 £ per year.
Speechify in Birmingham is looking for a skilled Software Engineer for our Data team. This role focuses on data collection to support model training operations, handling large datasets integrated with engineering and research. The ideal candidate should have extensive software development experience and proficiency in cloud infrastructure, particularly GCP.
We offer competitive salaries and a fast-growing environment that promotes innovation and a diverse workplace.
Data Infrastructure Engineer for Scalable AI Data Pipelines in Birmingham employer: Speechify
At Speechify, we pride ourselves on being an excellent employer by fostering a culture of innovation and collaboration in our Birmingham office. Our commitment to employee growth is evident through continuous learning opportunities and competitive salaries, making us an attractive choice for those looking to make a meaningful impact in the field of AI data pipelines.
StudySmarter Expert Advice🤫
We think this is how you could land Data Infrastructure Engineer for Scalable AI Data Pipelines in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Speechify or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data pipelines and cloud infrastructure. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with GCP and large datasets. We want to see how you think and solve problems, so practice coding challenges too!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining our team at Speechify.
We think you need these skills to ace Data Infrastructure Engineer for Scalable AI Data Pipelines in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data collection and cloud infrastructure, especially GCP. We want to see how your skills align with the role of a Data Infrastructure Engineer.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about working with large datasets and AI. Share specific examples of your past projects that demonstrate your software development expertise.
Showcase Your Problem-Solving Skills:In your application, mention any challenges you've faced in previous roles and how you overcame them. We love seeing candidates who can think critically and innovate in fast-paced environments.
Apply Through Our Website:We encourage you to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Speechify
✨Know Your Data Inside Out
Make sure you understand the data collection processes and how they support model training operations. Brush up on your knowledge of handling large datasets, as this will likely come up during the interview.
✨Show Off Your Cloud Skills
Since proficiency in GCP is a must, be prepared to discuss your experience with cloud infrastructure. Have examples ready that showcase how you've used GCP in past projects, especially in relation to scalable AI data pipelines.
✨Demonstrate Your Software Development Experience
Be ready to talk about your software development background. Highlight specific projects where you’ve implemented solutions that improved data handling or processing efficiency, as this aligns well with what they’re looking for.
✨Emphasise Innovation and Diversity
Speechify values innovation and a diverse workplace, so think about how you can contribute to these aspects. Prepare to share ideas on how you can bring fresh perspectives to their data team and foster an inclusive environment.
