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Praca: Data Science / ML Engineer


Data Science / ML Engineer
[online recruitment]
Location: woj. małopolskie
Reference number: VR-55209
Project Description:

ML/Cloud based system that efficiently analyzes collected data to predict/prevent/troubleshoot system failures and performance issues in smart-devices

Multi-tenancy & medium-high data volume processing

Data collected from smart devices is accessed from cloud (AWS) storage and undergoes translation from device-specific schema, file formats, etc and transformations such as selection of relevant data and features before being applied to a ML model training subsystem; qualified models are then pushed to production environment for prediction/execution. Data handling employs scalable spark-based access. The entire processing workflow is kept in sync via pipelines defined in airflow.

The state of the entire data engineering (& ML models, training and execution) is available via Dashboard UI

Responsibilities
  • Bring data science/machine learning expertise to a local Scrum team, providing qualified deliverables and services on schedule.
  • Participate in progress reviews
  • Work with scrum master(s), tech lead(s) to analyze and understand user stories in each sprint
  • Complete coding & unit testing for the allocated stories
  • Create design documents or make changes to existing ones
  • Complete code reviews
Skills
  • At least 4 years of experience working on data science/machine learning problems
  • Knowledge of a variety of machine learning techniques (clustering, random forests, neural networks, etc.) and their real-world advantages/drawbacks.
  • Experience working with ML frameworks (Pytorch, Tensorflow, etc.) and libraries (scikit-learn, pandas)
  • Experience working in Python
  • Experience working in Data frameworks such as Spark, Hadoop, HDFS
  • Experience with OOP software engineering practices
Our offer
Career and Professional Development
  • International projects for clients all over the world
  • Competitive salary
  • Individual development plan
  • Managerial Targeted Training programs
  • BRIDGE Mentoring Program
  • Luxoft Training Center
  • Language Classes
  • Self-learning online library
  • Global Relocation Program
  • Internal Mobility (a chance to gain experience in varied projects and technologies)
  • Professional communities for knowledge-sharing (Agile, Tech, Business)
Well-being
  • Group Life Insurance
  • Travel Insurance
  • Private Healthcare (dental care, unlimited consultations of specialist physicians)
  • Medical costs reimbursement for employees
  • Benefit Program (Cafeteria and Multisport Card)
Work-Life Balance
  • LuxGood Program (a wide range of health and well-being initiatives)
  • After-hours groups (sport, trips, board games, cultural activities)
  • Company and Team events
  • BeLux - discount offers program (banking, car leasing, other)
  • Convenient locations in modern offices
Career and Professional Development
  • International projects for clients all over the world
  • Competitive salary
  • Individual development plan
  • Managerial Targeted Training programs
  • BRIDGE Mentoring Program
  • Luxoft Training Center
  • Language Classes
  • Self-learning online library
  • Global Relocation Program
  • Internal Mobility (a chance to gain experience in varied projects and technologies)
  • Professional communities for knowledge-sharing (Agile, Tech, Business)
Well-being
  • Group Life Insurance
  • Travel Insurance
  • Private Healthcare (dental care, unlimited consultations of specialist physicians)
  • Medical costs reimbursement for employees
  • Benefit Program (Cafeteria and Multisport Card)
Work-Life Balance
  • LuxGood Program (a wide range of health and well-being initiatives)
  • After-hours groups (sport, trips, board games, cultural activities)
  • Company and Team events
  • BeLux - discount offers program (banking, car leasing, other)
  • Convenient locations in modern offices
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Informujemy, że administratorem danych jest Luxoft z siedzibą w Krakowie, ul. Bora Komorowskiego(dalej jako "administrator"). Masz prawo do żądania dostępu do swoich danych osobowych, ich sprostowania, usunięcia lub ograniczenia przetwarzania, prawo do wniesienia sprzeciwu wobec przetwarzania, a także prawo do przenoszenia danych oraz wniesienia skargi do organu nadzorczego. Dane osobowe przetwarzane będą w celu realizacji procesu rekrutacji. Podanie danych w zakresie wynikającym z ustawy z dnia 26 czerwca 1974 r. Kodeks pracy jest obowiązkowe. W pozostałym zakresie podanie danych jest dobrowolne. Odmowa podania danych obowiązkowych może skutkować brakiem możliwości przeprowadzenia procesu rekrutacji. Administrator przetwarza dane obowiązkowe na podstawie ciążącego na nim obowiązku prawnego, zaś w zakresie danych dodatkowych podstawą przetwarzania jest zgoda. Dane osobowe będą przetwarzane do czasu zakończenia postępowania rekrutacyjnego i przez okres możliwości dochodzenia ewentualnych roszczeń, a w przypadku wyrażenia zgody na udział w przyszłych postępowaniach rekrutacyjnych - do czasu wycofania tej zgody. Zgoda na przetwarzanie danych osobowych może zostać wycofana w dowolnym momencie.
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