Req. Id: 541Location:
Riga, LV, 1039
We’re Norwegian all the way in which and will likely be our clients good transfer; we work arduous to be the low-cost selection with a high-quality expertise. We purpose to be the sustainable choice and a dependable trip by ship good options for our clients to allow them to tailor their journey to their wants.
Make your good transfer now and be a part of our crew!
May you be our new Machine Studying Engineer? We’re searching for a Machine Studying Engineer or a Senior Machine Studying Engineer to affix our Information Analytics and Grasp Information crew in Riga. You can be part of our IT, Provide Chain and Course of Enchancment division and report back to Director of Information Analytics & Grasp Information.
Your every day duties will likely be to safe an environment friendly, scalable and automatic ecosystem for deployment of machine learning-based insights and decisioning in Norwegian. Guarantee high quality, well being and monitoring of the machine studying infrastructure and fashions. Supporting the supply of information & analytics associated use-cases that generate influence (enhance income, enhance effectivity, simplification and reducing value)
You can be accountable for
- Creating an automatic, environment friendly and scalable ecosystem for full machine studying lifecycle along with Information Engineers and Information Scientists
- Managing, monitoring, troubleshooting machine studying infrastructure
- Organising and managing steady integration/improvement/coaching pipelines with assist of Information Engineers
- Constructing, deploying, sustaining, monitoring fashions (machine/deep studying) with assist of Information Scientists
- Automating ML fashions deployments
- Organising alerts, displays, dashboards, logging, and many others. associated to ML Ops actions
This job will likely be for you if
- You’ve gotten a ardour for working with knowledge at scale and empowering organizations by way of knowledge
- You’ve gotten distinctive structure skills and expertise with architectural patterns of huge, high-scale utility
- You might be humble to ask for assist when wanted and having the ability to patiently give it when essential to others
You might be our preferrred candidate if
- You’ve gotten a background in Machine Studying/Synthetic Intelligence
- You’ve gotten 3+ years of related engineering hands-on work expertise
- You’ve gotten labored on massive scale initiatives with a number of dependencies throughout groups
- You’ve gotten data of Machine Studying cloud framework architectures
- You’ve gotten robust programming abilities in Python
- You might be skilled constructing auto-scaling ML methods
- You might be skilled with SQL and NoSQL database methods in knowledge lake / datawarehouse contexts
- You might be skilled with Docker containers and Kubernetes
- Having a Machine Studying associated certification on public cloud supplier’s applied sciences is a plus
Be part of us and luxuriate in our firm advantages
- Aggressive firm advantages together with worker priced tickets
- Constructive and thrilling place to work in a world organisation
- Difficult, variable and dynamic surroundings
- Annual fastened wage gross from EUR 25 000 (relying in your expertise, training, and abilities)
- Medical insurance
Do you might have any questions?
In that case, please contact:
Director Information Analytics and Grasp Information
E mail: firstname.lastname@example.org
Expertise Acquisition Supervisor
Cellphone: +47 977 70 554
E mail: email@example.com
So what are you ready for? Apply now and make your good profession transfer!
If you’re able to spontaneously combust on the considered working with us, we wish you to click on the Apply Now button to finish our on-line utility. You’ll need to add a current copy of your resume with a canopy letter and inform us why you wish to be a part of us.
Please notice: We are able to solely settle for purposes which were submitted by way of our recruitment system.
Journey required: Some travelling have to be anticipated
Utility deadline: 24/03/2021
The Norwegian story started over 27 years in the past – we had been based in 1993 however solely started working as a low-cost service with larger Boeing 737 plane in 2002. Norwegian expanded throughout the globe because the airline launched short-haul companies throughout Europe after which entered the long-haul sector serving the US, Asia and South America. We function a contemporary and fuel-efficient fleet consisting of Boeing 787 Dreamliners and Boeing 737s.
We had been the primary airline on this planet to affix the UN Local weather Secretariat’s local weather action-initiative in 2019, pledging to work systematically to change into carbon impartial by 2050.
From being voted for six consecutive years as Europe’s Greatest Low Price airline and for 5 consecutive years because the World’s Greatest Low Price Lengthy Haul Airline by Skytrax to successful Airline Program of the 12 months Europe & Africa for the fourth consecutive 12 months on the 2020 Freddie Awards – In complete Norwegian has received over 55 awards for our service, product and innovation within the business since 2012.
Norwegian has change into a part of the material of Nordic tradition and we take nice satisfaction in exporting our Nordic values the world over.