MLOps Engineer

    What will you do?

  • Design, implement & improve infrastructure for Data Science teams.
  • Utilise GCP & DataBricks platforms to put ML models to practical use.
  • Develop and automate large scale, high-performance data processing systems (batch and/or streaming) to drive Kiwi.com business growth.
  • Choose right tools to enable ML researchers & engineers efficient transition between research PoC’s and production grade ML systems
  • Maintain GitLab CI/CD pipelines to automate application release cycle.
  • Manage deployments in Terraform.
  • Experiment with new technologies and choose the right ones for given problems.
  • Assist ML engineers with design of production low-latency model serving components and avoiding re-implementing code for training vs. serving.
  • Build scalable, reliable, secure, efficient and highly performant platforms and infrastructure for a variety of analytics and business applications.
  • Contribute to shared data engineering tooling & standards to improve the productivity and quality of output for data engineers across the company.
  • Own big data problems, understand all underlying infra systems and platforms, and work towards improving resource requirements SLOs
  • ..and have fun!
  • What do we expect?

  • 5+ years of full-time, industry experience in software development
  • Broad knowledge of different types of data storage engines – (non)relational, row/column oriented dbs. Hands on experience with at least 2 of them – e.g. Postgres, MySQL, QB/redshift, elastic
  • Experience with Databricks (nice to have)
  • Advanced query language (SQL) knowledge
  • Working with batch or real-time data processing
  • Strong coding skills in Python (preferred)
  • Rigour in high code quality, automated testing, and other engineering best practices
  • Cloud Knowledge – Google Cloud (best fit), AWS, Azure (nice to have)
  • BS/MS in Computer Science or a related field (ideal)
  • Why does it rocks to work for us?

  • We deploy immediately after a job is completed, not after months of QA.
  • Do, fail, learn – repeat! We understand that mistakes happen and we learn fast.
  • We decide which cutting-edge technologies are appropriate for the task.
  • We code at hackathons and other competitions.
  • We support the local technological community.
  • We visit and speak at conferences and technological events worldwide.
  • We use our work time wisely with a friendly vacation policy and work schedule.
  • We also like to party and hang out together.
  • We work, play, relax, workout and even nap in our offices.
  • We’re a great team of passionate and fun-loving people from across the globe who you’ll love working with.
  • We look forward to you joining our team-buildings and parties!
We offer you
 
•The opportunity to join our Phantom Stock scheme.
•We also enjoy benefits, such as meal vouchers, 25 days vacation, sick days, Multisport card, Employee Assistance Program.
•Flight vouchers to celebrate your kiwi anniversaries.
•We give our employees a freedom to choose between the environment of work from home and our modern office located in Zuckermandel where you can enjoy sleeping spots, chillout zones, free refreshments, parking for car/bicycle/motorbike.
•The latest version of Hardware from Apple or Microsoft based on your preferences.
•Relocation package (including visa transfer support).
•We offer unlimited contracts within a forward-thinking and ambitious company.
•Dogs, kids, and parties are welcome in our offices. 
 
 
Interested? Join us and hack the traditional ways of travel!
 
Kiwi.com is proud to be an equal opportunity workplace and employer. We review applications for employment without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
 
Throughout the recruitment process and for some time after it’s finished, we’re going to process your Personal Data. You can find all the necessary information in our Privacy Policy available at: https://jobs.kiwi.com/recruitment-privacy-policy/.

Denisa RecruiterRecruitment CoordinatorDenisa Nováková

Linkedin profile

LocationBratislava

TeamBI & Analytics

Employment typeFull-time

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