Machine Learning Engineer
View: 246
Update day: 21-03-2024
Industry: Technology Information Internet
Position: Mid-Senior level
Job type: Full-time
Job content
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
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
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
Deadline: 05-05-2024
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