Software Engineer
2 tygodni temu
Technologies-expected : Python technologies-optional : SQL about-project : The MLOps team is a part of the Machine Learning Research lab and provides tools for optimizing, scaling, and deploying advanced machine learning models.
We blend artificial intelligence, software engineering, and Dev Ops expertise to embrace the full potential of research engineers and data scientists from other teams.
We orchestrate the entire machine learning lifecycle, from data preprocessing and annotation to model deployment, using the cutting-edge infrastructure of Google Cloud and Kubernetes.
Your daily toolkit will consist of: Python Kotlin and Java Docker and K8s Google Cloud Platform (Cloud Composer, Dataflow, Vertex AI) internal Allegro libraries and toolkits responsibilities : As a Machine Learning Engineer (Software Engineer - Machine Learning) you will support Research Engineers in building Machine Learning models and then deploy them on production, ensuring high availability and performance.
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 English on at least B2 level offered : Support from experienced Machine Learning Engineers, Research Engineers, Data Engineers and Data Scientists A hybrid work model that you will agree on with your leader and the team.
We have well-located offices (with fully equipped kitchens and bicycle parking facilities) and excellent working tools (height-adjustable desks, interactive conference rooms) Annual bonus up to 10% of the annual salary gross (depending on your annual assessment and the company's results) A wide selection of fringe benefits in a cafeteria plan – you choose what you like (e.g.
English classes that we pay for related to the specific nature of your job 16" or 14" Mac Book Pro with M1 processor and, 32 GB RAM or a corresponding Dell with Windows (if you don't like Macs) and other gadgets that you may need Working in a team you can always count on — we have on board top-class specialists and experts in their areas of expertise A high degree of autonomy in terms of organizing your team's work; we encourage you to develop continuously and try out new things Hackathons, team tourism, training budget and an internal educational platform, Mind Up (including training courses on work organization, means of communications, motivation to work and various technologies and subject-matter issues) benefits :
sharing the costs of sports activities private medical care sharing the costs of foreign language classes sharing the costs of professional training & courses life insurance flexible working time integration events no dress code leisure zone extra social benefits
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