At a Glance
- Tasks: Build a top-notch data operations environment and manage the data lifecycle in production.
- Company: Join Palabra.ai, the world's first real-time voice translator for apps like Zoom and Google Meets.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on scalable solutions and cloud infrastructure.
- Why this job: Make an impact by working on innovative technology that supports over 30 languages.
- Qualifications: 5+ years in MLOps/Data Engineering with skills in Docker and CI/CD.
The predicted salary is between 54000 - 84000 € per year.
Overview
Основной фокус этой роли — построение первоклассной data-операционной среды, весь жизненный цикл данных в продакшене.
Palabra.ai — первый в мире риалтайм голосовой переводчик, работающий в сторонних приложениях типа Zoom и Google Meets. Сейчас сервис поддерживает больше 30 языков, умеет сохранять эмоции и интонации спикера.
Responsibilities
- Построение data-операционной среды и обеспечение жизненного цикла данных в продакшене.
Qualifications
- 5+ лет опыта с сильным бэкграундом в MLOps/Data Engineering
- Умение превращать ML-код в продакшн-сервисы с помощью Docker и CI/CD
- Способность проектировать масштабируемые пайплайны с отслеживанием lineage
- Глубокое понимание облачной инфраструктуры, включая Kubernetes, IAM, autoscaling и ephemeral-инстансы
Senior Data Infrastructure & MLOps Engineer in London employer: Open Data Science
Palabra.ai is an exceptional employer, offering a dynamic work environment where innovation thrives. With a strong focus on employee growth and development, team members are encouraged to enhance their skills in cutting-edge technologies while contributing to a groundbreaking product that revolutionises real-time voice translation. Located in a vibrant tech hub, employees enjoy a collaborative culture that values creativity and inclusivity, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Infrastructure & MLOps Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects and data pipelines. We love seeing real-world applications of your work, so make sure to highlight your achievements and the impact they had.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with Docker, CI/CD, and cloud infrastructure. We want to see how you can bring your expertise to our team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to join us in building top-notch data operations.
We think you need these skills to ace Senior Data Infrastructure & MLOps Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Infrastructure & MLOps Engineer role. Highlight your experience with MLOps and data engineering, and don’t forget to mention any relevant projects that showcase your skills in building scalable pipelines and production services.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data operations and how your background aligns with our mission at Palabra.ai. Be sure to mention specific technologies you’ve worked with, like Docker and Kubernetes.
Showcase Your Achievements:When detailing your experience, focus on your achievements rather than just listing responsibilities. Use metrics where possible to demonstrate the impact of your work, such as improvements in efficiency or scalability in previous roles.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to upload your CV and cover letter directly. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Open Data Science
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Docker, CI/CD, and Kubernetes. Brush up on your knowledge of data pipelines and how to track lineage, as these are crucial for the role.
✨Showcase Your Experience
Prepare specific examples from your past work that demonstrate your 5+ years of experience in MLOps and Data Engineering. Be ready to discuss how you've turned ML code into production services and the challenges you faced along the way.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data operations environment and how they handle scaling and cloud infrastructure. This shows your genuine interest and helps you assess if it’s the right fit for you.
✨Demonstrate Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or technical problems during the interview. Think aloud as you work through your thought process, showcasing your analytical skills and ability to design scalable solutions.
