At a Glance
- Tasks: Support AI model training by managing data operations and cloud infrastructure.
- Company: Join Speechify, a leader in innovative AI solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for meaningful impact.
- Other info: Diverse team environment with great career growth potential.
- Why this job: Make a difference in AI while working with cutting-edge technology.
- Qualifications: 5+ years in software development and skills in bash, Python, and Docker.
The predicted salary is between 60000 - 80000 € per year.
Speechify is seeking a Software Engineer to support data operations for AI model training. This role involves finding audio data sources, managing cloud infrastructure on GCP, and collaborating with scientists to enhance data quality and cost efficiency.
Ideal candidates should have:
- A BS/MS/PhD in Computer Science
- Over 5 years of software development experience
- Proficiency in bash, Python, and Docker
Our team champions a diverse and inclusive work environment, offering competitive salaries and opportunities for meaningful impact.
Data Infrastructure Engineer — AI Data Ingestion in Edinburgh employer: Speechify
At Speechify, we pride ourselves on being an excellent employer by fostering a diverse and inclusive work culture that empowers our employees to make a meaningful impact in the field of AI. Located in a vibrant tech hub, we offer competitive salaries, comprehensive benefits, and ample opportunities for professional growth, ensuring that our team members thrive both personally and professionally while contributing to innovative projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Infrastructure Engineer — AI Data Ingestion in Edinburgh
✨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 operations, cloud infrastructure, or AI. This is your chance to demonstrate your expertise in bash, Python, and Docker.
✨Tip Number 3
Prepare for the interview by brushing up on relevant topics. Be ready to discuss how you've managed cloud infrastructure or improved data quality in past roles. We want to see your problem-solving skills in action!
✨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 are proactive about their job search.
We think you need these skills to ace Data Infrastructure Engineer — AI Data Ingestion in Edinburgh
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with bash, Python, and Docker in your application. We want to see how your skills align with the role of a Data Infrastructure Engineer, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your experience in managing cloud infrastructure on GCP and any relevant projects that showcase your ability to enhance data quality.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
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!
How to prepare for a job interview at Speechify
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially bash, Python, and Docker. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects.
✨Understand Data Operations
Familiarise yourself with data operations related to AI model training. Be prepared to talk about your experience with managing cloud infrastructure, particularly on GCP, and how you’ve optimised data quality and cost efficiency in previous roles.
✨Show Your Collaborative Spirit
Since this role involves working closely with scientists, think of examples where you’ve successfully collaborated with cross-functional teams. Highlight your communication skills and how you’ve contributed to enhancing project outcomes through teamwork.
✨Embrace Diversity and Inclusion
Research Speechify’s commitment to a diverse and inclusive work environment. Be ready to share your thoughts on how diversity can enhance team performance and innovation, and how you can contribute to fostering an inclusive culture.
