Machine Learning Engineer

☞ lastminute.com

전망: 243

갱신일: 21-03-2024

위치: Chiasso Ticino TI

범주: 과학 노동

산업: Technology Information Internet

수평: Mid-Senior level

직업 종류: Full-time

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작업 내용

lastminute.com is looking for a highly qualified and motivated Machine Learning Engineer to work on large-scale machine learning pipelines and scale them even further. The selected candidate will be part of a cross-functional team composed of machine learning scientists, data scientists, and data/software engineers. This position is based in our office in Chiasso (Switzerland) or eventually full-remote.

Key Responsibilities

  • Contribute to designing, building, and shipping highly scalable machine learning pipelines
  • Optimize deep learning models to improve serving-time performance and scalability
  • Ensure quality by applying unit, acceptance, and end-to-end tests
  • Prototype and productionize new solutions at scale
  • Collaborate closely with machine learning scientists, software and data engineers
  • Design/Develop (real-time) data pipelines

Qualifications

Essential

  • Experience in designing, implementing, and deploying production machine learning systems
  • Experience in designing, implementing, and deploying complex data pipelines
  • Strong coding skills in Python
  • Experience in Java
  • Experience with Spark
  • Strong SQL knowledge
  • Familiar with engineering principles around testing, code review, and deployment
  • Pragmatic mindset, and ability to evolve ideas into practical implementations
  • Experience in implementing and maintaining scalable data pipelines
  • Experience with Docker
  • Experience with distributed version control systems
  • Curious with a constant desire to learn and collaborate



Desirable

  • Experience with cloud platforms like GCP and/or AWS
  • Experience with publisher/subscriber system
  • Experience with Kubernetes
  • Experience with NoSQL databases



Additional Information

What we offer

By joining our company, you will have the chance to:

  • Join a dynamic team in an inclusive-international environment
  • Grow thanks to the career journey and our internal mobility perspective
  • Manage your own schedule thanks to the flexible start and end of the working day
  • Work a shorter working week (36h), of which 4 hours on Friday morning
  • Get focus time for learning, development, research, and deep work on Friday mornings
  • Work partially or fully remote according to local laws
  • Enjoy continuous training thanks to our company platform
  • Benefit from employee discounts on travel
  • Receive 2 days off per year for the purpose of volunteering
  • Receive a bonus after 5 and one after 10 years in the company
  • Get free snacks / fruit / hot drinks / water / beverages at our offices
  • Participate in amazing winter and summer corporate events
  • Benefit from extended parental or marriage leave
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마감 시간: 05-05-2024

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