Data Science / ML Engineer

Luxoft
Mid
Online interview
B2B Employment contract
Remote
Remote possible
100%

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

Your tasks

  • 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

Who we're looking for?

MUST
  • 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
NICE TO HAVE
  • Experience with Kaggle competitions (https://www.kaggle.com/competitions)
  • Knowledge of Apache Airflow
  • Knowledge / experience with AWS tools *Experience working in IoT or predictive maintenance domain *Experience visualizing/presenting data for stakeholders using: D3, Qlik sense, ggplot
Work environment

Our company

Luxoft

Gdańsk, Wrocław, Warsaw, Krakow, Zug 13000
Tech skills
  • Java
  • JavaScript
  • .Net

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