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- Tasks: Enhance data operations for AI model training and develop robust data pipelines.
- Company: Leading tech company in London with a focus on innovation.
- Benefits: Competitive salary, fully remote work, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI with your coding skills.
- Qualifications: Experience in software development, bash, Python, and cloud infrastructure.
- Other info: Proactive environment with excellent communication and collaboration opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company is looking for a Software Engineer specializing in Data Infrastructure in London. The ideal candidate will have strong experience in software development, proficiency in bash and Python scripting, and the ability to work with cloud infrastructure.
This role involves enhancing data operations for AI model training, requiring excellent communication skills and a proactive attitude. Competitive salary and a fully remote work environment are offered.
Data Infrastructure Engineer, AI Data Pipelines & Acquisition in City of London employer: Speechify, Inc.
Contact Detail:
Speechify, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Infrastructure Engineer, AI Data Pipelines & Acquisition in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. 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 GitHub repository showcasing your projects, especially those involving Python scripting and cloud infrastructure. This gives 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. Practice explaining your thought process clearly, as communication is key in this role.
✨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, AI Data Pipelines & Acquisition in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software development, especially with bash and Python scripting. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data infrastructure and how your proactive attitude can enhance our AI model training operations. Let us know what excites you about this role!
Showcase Your Communication Skills: Since excellent communication is key for this position, consider including examples of how you've effectively collaborated with teams or communicated complex ideas in your previous roles. We love seeing candidates who can connect with others!
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 Speechify, Inc.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially bash and Python. Brush up on your scripting skills and be ready to discuss how you've used these languages in past projects.
✨Showcase Your Cloud Experience
Since the role involves working with cloud infrastructure, prepare examples of your experience with cloud platforms. Be ready to explain how you've enhanced data operations in previous roles, particularly for AI model training.
✨Communicate Clearly
Excellent communication skills are a must. Practice explaining complex technical concepts in simple terms. This will not only help you during the interview but also demonstrate your ability to work collaboratively with non-technical teams.
✨Be Proactive in Your Approach
The company is looking for a proactive attitude. Think of instances where you took initiative in your previous roles, whether it was improving a process or leading a project. Be prepared to share these stories to highlight your problem-solving skills.
