Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 45.000 to 70.000€ Gross/Year
- Location
- Innsbruck
- Working Model
- Hybrid, Onsite
Job Technologies
Your role in the team
- Design innovative, technical approaches for data intensive and applications with a focus on machine learning and artificial intelligence.
- Implement and take ownership for your solutions on in either cloud based ( AWS , Azure or GCP ) and/or on-premises infrastructures of our customers.
- Automate recurring tasks by state-of-the-art DevOps and MLOps concepts , enabling your customers to significantly reduce their time-to-delivery.
- Take care of the necessary monitoring, failover, and recovery infrastructures that allow our customers save operation of their machine learning solutions in agreement with latest regulatory requirements
- Closely interact with customers and stakeholders to translate concrete and complex business requirements into production-ready solutions
- Collaborate with various disciplines such as enterprise architects, analysts, data scientists or data engineers to develop data-intensive applications such as data warehouses, data lakes and/or data platforms
Responsibility Distribution
New Features
Maintenance, Bugfixing
Client Support
Documentation
Organisation
Meetings
Our expectations of you
Education
- Bachelor’s / master’s degree in computer science or any other related fileds (e.g. engineering, statistics, physics).
Qualifications
- First practical experience with DevOps/MLOps principals and computing platforms like Microsoft Azure, AWS and GCP as well as Databricks .
- Ability to convincingly communicate and present analytical results to management.
- We cover the full lifecycle of Data , from Cloud Infrastructure, Data Engineering, Data Analytics, and Visualization to ML Engineering to and MLOps. Interest and/or experience in some of those fields is an advantage .
- Fluent in English and able to speak German at least at a B2 Level.
Experience
- Working experience in cloud technologies (AWS, Azure or GCP), Kubernetes and programming languages like Python, Java and Scala .
- Practical experience with SQL and NoSQL database technologies and data lakes
- Experience with big data technologies ( Apache Spark ), data streaming ( Apache Kafka ) and workflow orchestration ( Apache Airflow, Dagster )
Benefits
More net
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Job Locations
Topics that you deal with on the job
This is your employer
Machine Learning Reply GmbH
Wien, Innsbruck
Comsysto Reply ist die führende Expertin für die lean und agile Bereitstellung maßgeschneiderter Lösungen, die den Herausforderungen des digitalen Wandels in Unternehmen begegnen.
Description
- Company Size
- 50-249 Employees
- Founding year
- 2020
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)4.7
Engineering
4.1Culture
5.0Career Growth
4.8Workingconditions
5.0