Position

Data Scientist/Machine Learning Engineer,
Remote Poland

Location


Remote Poland

Office Address


Project Description


About the Project

In this project, Luxoft helps the customer (German OEM) develop, train, and deploy Machine Learning models for internal customer needs.

The models include:
* Automatic Warranty Claim Approval
* Financial Forecasting
* Automatic anomaly detection in engine signals (IoT on mining trucks)

All models use data in the tabular form as an input (i.e. no computer vision).

The customer develops engines for mining trucks, yachts, cruise ships, power generators, etc.

Our team

Five data scientists and a product owner.

Technologies used

Python, unit testing, pandas, numpy, Machine Learning, Data Science, Azure Databricks, OpenShift, MLFLow, Docker, Gradient Boosting Trees (LightGBM), Pyspark, Tensorflow, Keras, Deep Learning, LSTM, Kanban, Azure DevOps.

Opportunities

Working with a German OEM on projects that really go into production and bring value to the customer.
Working with a range of Data Science and Machine Learning technologies as well as diverse problems.

Responsibilities


    * Build, train, run, own and validate predictive and explorative analytical AI models
    * Analyze large and complex data sets to derive valuable insights
    * Write and develop production level code/pipelines
    * Collaborate with DevOps engineer and Data engineer to bring models to production
    * Actively monitor AI models during their lifecycle and intervene in case of trouble
    * Presentation of qualitative and quantitative results obtained during development and running of these models
    * Delivery of fast, stable, scalable, robust and future-proof AI microservices

Skills


Must have

    Python
    Unit testing
    Pandas
    Numpy
    Machine Learning
    Data Science
    Gradient Boosting Trees (LightGBM)
    Pyspark
    Tensorflow
    Keras
    Deep Learning
    LSTM
    CNN

Nice to have

    Azure Databricks
    OpenShift
    MLFLow
    Docker
    Kanban
    Scrum

Languages


English: C1 Advanced

Seniority


Senior

Relocation package


If needed, we can help you with relocation process. Click here for more information.

Line of Business


Automotive

Vacancy Specialization


Python

Ref Number


VR-71671

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