Bright minds,
sharp solutions

Luxoft is a global IT service provider of innovative technology solutions that delivers measurable business outcomes to multinational companies. Its offerings encompass strategic consulting, custom software development services, and digital solution engineering. Luxoft enables companies to compete by leveraging its multi-industry expertise in the financial services, automotive, communications, and healthcare & life sciences sectors. For more information, please visit the website.

Line of Business:

Financial Services

Position:

Workfusion Machine Learning Engineer, Krakow

Project Description

Luxoft is building RPA practice in Poland and is looking for talented and ambitious Machine Learning engineers to put together automation teams able to deliver end to end solution to its global clients from different domains. These teams will implement solutions using WorkFusion platform which is AI-driven RPA software that creates and manages software robots for knowledge work. Built for data-first companies, it automates business processes by combining AI, RPA and people in one intuitive platform.

Responsibilities

Develop reusable machine learning components for the delivery team
Solve difficult architecture and machine learning tasks that coming from the customers
Collaborate with data-science, engineering and customers to build production machine learning models and provisioning systems
Take part in the project delivery onsite
Take role as a stakeholder for the product team
Work on the best practices for delivery

Skills

Must

5+ years of production Java/JEE experience
1+ years of experience in Workfusion
Hands-on experience with machine learning platforms and related tools is a must
Proficiency in algorithms, data structures and computer science fundamentals
Good knowledge of statistics and probability theorySolid background in machine learning concepts and probability theory
Good knowledge of Regex (regular expressions)
Unit test frameworks, Junit4 and good debugging skills.
Basic knowledge on NLP nomenclature is must.
Good understanding of RESTful web services.
Hands on Maven: Scoping, Versioning, multi-module builds and dependency management is must.
Solid understanding of Java design patterns and OOP
Strong working knowledge of Databases and SQL.
Proficient DevOps Skills and mind-set
Working experience of GiT/SVN version control repositories

Nice to have

Hands-on experience with rule-based models
Working familiarity and understanding of tools and libraries such as: Weka, Stanford NLP, Apache UIMA, Apache Mahout, NLP, Tableau, Deep Learning, Tensor Flow, Pytorch, Caffe

Languages

  • English: Upper-intermediate

Relocation package

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