Software Engineer for Machine Learning and Data Science (m/f/d)
RapidMiner, Hungary

Experience
1 Year
Salary
0 - 0
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
No
Qualification
As mentioned in job details
Total Vacancies
1 Job
Posted on
May 5, 2021
Last Date
Jun 5, 2021
Location(s)

Job Description

RapidMiner is reinventing enterprise AI so that anyone has the power to positively shape the future. We’re doing this by enabling data loving people of all skill levels across the enterprise to rapidly create and operate AI solutions for immediate business impact. We offer a full lifecycle platform that unifies data prep, machine learning, and model operations with a user experience that provides depth for data scientists and simplifies complex tasks for everyone else. The RapidMiner Center of Excellence methodology and the RapidMiner Academy ensures customers are successful, no matter their experience or resource levels. More than 40,000 organizations in over 150 countries rely on RapidMiner to increase revenue, cut costs, and reduce risk. Learn more at rapidminer.com.


Job Description

Title: Software Engineer for Machine Learning and Data Science

Hiring Office: RapidMiner Kft, Aradi utca 8-10., 1062 Budapest, Hungary


Your Team

The RapidMiner development team is looking for a talented and motivated Software Engineer for Machine Learning and Data Science to join them in Budapest (Hungary) with the option for remote work (full time or partially). You’ll be part of a team of engineers working on products which make data science more widely applicable and deployable in enterprise contexts. As part of this agile and product-oriented development team you will play an important role building the next generation of a web-based and cloud-ready RapidMiner platform, which allows individual users and data science teams to achieve better results with less effort. The team also maintains our integrations with Python-based solutions such as Notebooks and our In-Database workflow executions.

Examples of tasks are:

  • Design and implementation of software solutions for building and operating machine learning models and data science workflows in a containerized, distributed, scalable, and cloud-ready architecture with Spring Boot as primary backend and React as primary frontend technology
  • Design and implementation of code-based data science solutions based on Python and Notebooks
  • Support and maintain our already established RapidMiner AI Hub and Studio applications as well as its extensions during the transition phase towards a cloud-first platform

While we have a work-from-anywhere policy, we require the applicant to be in the same time zone as the rest of the team to support efficient collaboration. Since culture and in-person meetings are important to us as well, being located in Hungary is preferred.


Your Role

As a Software Engineer for Machine Learning and Data Science you will work closely with your team to solve complex problems that include designing and implementing products for brining together code-based, automated, and workflow-based approaches to data science and machine learning. You will ensure the seamless integration of the different approaches as well as supporting large enterprise data science teams in which different team members have different strengths.

You will support the integration of code-based (predominantly Python) data science solutions with RapidMiner workflows or RapidMiner's automated machine learning and data science solutions. You will also ensure that assets produced with these non-coding approaches can be utilized from Python as well. Finally, pushing the execution of data science workflows or machine learning model building into different parts of the infrastructure such as databases is a reality of many enterprise data science teams as well and is supported by our products.

Be part of our journey towards a cloud-first platform: develop new features, improve existing ones, and thereby have a direct impact on customer experience.

Your typical working day might include tasks such as:

  • Implementation of User Stories
  • Performance evaluations of existing or newly developed features
  • Conduct code amp; functionality reviews of features being in development
  • Active participation in Scrum meetings
  • Discussion of user requirements for upcoming User Stories
  • Participation in architecture or UX discussions
  • Communication of results to other teams and departments

Requirements

About you

You’re passionate about software engineering but also data science. You are also a team player who loves to work within a small and agile team to quickly provide high quality results that improve the life of users. You have distinctive analytical and conceptual skills and you enjoy working with innovative technologies. Plus, the ease of use of the software you’ve developed is important to you.

Your skills

Here are some thing

Job Specification

Job Rewards and Benefits

RapidMiner

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