At a Glance
- Tasks: Create and manage data pipelines for AI model training at petabyte scale.
- Company: Join Deepstreamtech, a leader in AI innovation and data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Be part of a cutting-edge team shaping the future of AI with impactful data solutions.
- Qualifications: BS/MS/PhD in Computer Science and 5+ years in software development.
The predicted salary is between 60000 - 80000 € per year.
Deepstreamtech is seeking a Software Engineer for the Data side of our AI team at Speechify. In this role, you'll be responsible for all aspects of data collection to support our model training operations and collaborate closely with our Scientists.
The ideal candidate has a BS/MS/PhD in Computer Science, 5+ years of software development experience, and a strong proficiency in bash/Python scripting and Docker. Join us to create high-quality datasets at petabyte-scale.
Data Infrastructure Engineer - Petabyte-Scale Ingestion in London employer: Deepstreamtech
Deepstreamtech is an exceptional employer that fosters a collaborative and innovative work culture, particularly within our AI team at Speechify. We offer competitive benefits, ample opportunities for professional growth, and the chance to work on cutting-edge projects involving petabyte-scale data ingestion. Join us in a dynamic environment where your contributions directly impact the advancement of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Infrastructure Engineer - Petabyte-Scale Ingestion in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Deepstreamtech or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data collection and model training. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your bash and Python scripting skills. Practice common coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Infrastructure Engineer - Petabyte-Scale Ingestion in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in software development and data collection. We want to see how your skills in bash/Python scripting and Docker align with the role, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the Data Infrastructure Engineer position and how your background makes you a perfect fit for our AI team.
Showcase Relevant Projects:If you've worked on any projects that involved petabyte-scale data ingestion or model training, make sure to mention them. We love seeing real-world applications of your skills!
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 our team!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you brush up on your bash and Python scripting skills. Be ready to discuss specific projects where you've used these languages, especially in relation to data collection and processing. The more you can demonstrate your technical prowess, the better!
✨Showcase Your Collaboration Skills
Since this role involves working closely with Scientists, be prepared to talk about your experience in collaborative environments. Share examples of how you've successfully worked in teams, particularly in data-driven projects, to highlight your ability to communicate and contribute effectively.
✨Understand the Big Picture
Familiarise yourself with the concept of petabyte-scale data ingestion and its challenges. Being able to discuss industry trends and how they relate to the role will show that you're not just technically skilled but also have a strategic mindset.
✨Prepare Questions That Matter
Think of insightful questions to ask your interviewers about their data processes and the tools they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation!
