Machine Learning Engineer

Company Description

Launched in 1998, this pioneering British-born brand has specialised in creating amazing experiences and unforgettable memories - from hotels, city breaks and holidays to theatre, entertainment and spa days. Experts in brightening up online travel, lastminute.com is among the worldwide leaders in the field, helping hundreds of thousands of customers every year find, and do, "whatever makes them pink".

lastminute.com is the European Travel-Tech leader in the dynamic holiday packages business, uniquely positioned to drive innovation-led growth.

Every month, lastminute.com reaches across all its websites and mobile apps (in 17 languages and 40 countries) 60 million unique users that search for and book their travel and leisure experiences. More than 1,200 people enjoy working with us and contribute to provide our audience with a comprehensive and inspiring offering of travel related products and services.

At the heart of our culture is a commitment of inclusion across race, gender, age sexual orientation, religion, gender identity or expression and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Job Description

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