Machine Learning Engineer Machine Learning Research Lab
Machine Learning Engineer Machine Learning Research Lab
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Job Description
A hybrid work model requires 1 day a week in the office (Warsaw).
Machine Learning Research is Allegros R&D lab created to develop and apply stateoftheart machine learning methods helping Allegro grow and innovate with artificial intelligence. Beyond bringing AI to production we are committed to advance the understanding of machine learning through open collaboration with the scientific community.
As a Machine Learning Engineer you will support Research Engineers in building Machine Learning models and then deploy them on production ensuring high availability and performance.
Your work will be related to:
Designing developing optimizing and maintenance of data and ML training pipelines including analysis exploration and processing of text data
Collaborating with our Research Engineers Software Engineers and Product teams across the model lifecycle
Productionrunning models management monitoring and tuning
What we offer:
Support from experienced Machine Learning Engineers Research Engineers Data Engineers and Data Scientists
Welllocated office (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (heightadjustable desks interactive conference rooms)
Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the companys results)
A wide selection of fringe benefits in a cafeteria plan you choose what you like (e.g. medical sports or lunch packages insurance purchase vouchers)
English classes that we pay for related to the specific nature of your job
Working in a team you can always count on we have on board topclass specialists and experts in their areas of expertise
A high degree of autonomy in terms of organizing your teams work; we encourage you to develop continuously and try out new things
Hackathons team tourism training budget and an internal educational platform MindUp (including training courses on work organization means of communications motivation to work and various technologies and subjectmatter issues)
If you want to learn more check it out
We are looking for people who:
Have a bachelor or masters in machine learning mathematics computer science statistics or related fields
Have proficiency in Python and experience with Kotlin/Java
Know ML models lifecycle
Have a practical experience in MLbased solutions development
Have at least basic knowledge of ML algorithms and common libraries used to deal with models (scikitlearn PyTorch Pandas)
Have Experience with natural language processing (NLP)
Have prior experience in running largescale computation on cloud platform (GCP AWS or Azure)
Have a practical experience in Python microservices and libraries development as well as maintenance
Can independently make decisions within a designated scope and take full responsibility for tasks taken during their entire lifecycle: from requirements engineering through implementation to deployment and maintenance
Know SQL
Know English on at least B2 level
The following are also a plus:
Docker
Practical knowledge of Kubernetesbased MLOps solutions (Kubeflow) and/or MLOps solutions available in the cloud (preferably Google Cloud Vertex AI)
This may also be of interest to you:
Send in your CV and see why it is #dobrzetuby (#goodtobehere)
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
