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Machine Learning Engineer(m/f/d)

  • Hybrid
    • Innsbruck, Tirol, Austria
  • Data Frameworks

Job description

Company overview: 

Machine Learning Reply provides customized end-to-end solutions in the data science field that cover the entire project life cycle - from initial strategic consulting to data architecture and infrastructure topics, through to data processing and quality assurance using machine learning algorithms. We enable our customers to successfully implement new data-driven business models as well as optimize existing processes and products - with a focus on open-source and cloud technologies. 

 

About the role:  

We are seeking a talented and motivated (Junior) Machine Learning Engineer to join our team of innovators in the field of Data and AI. As a (Junior) Machine Learning Engineer at Machine Learning Reply, you will play a key role in high-impact projects delivering solutions to our customers. We are looking for someone who has a solid understanding not only in Machine Learning and Data Science, but also in Software Engineering, DevOps and building cloud-based solutions. 

 

Responsibilities: 

  • Design and develop machine learning solutions, often utilizing cloud-based services on Cloud providers like AWS, GCP, or Azure. 

  • Develop and coordinate infrastructure projects (e.g., the introduction of cloud data lakes & data warehouses) 

  • Write software components in languages such as Java (Spring Boot), Python (PySpark, Flask), JavaScript/Typescript (Vue, React, Angular) 

  • Setting up development and deployment infrastructure (DevOps) in cloud or on-premises environments.  

  • Research and prototype new ideas for disrupting day-to-day operations & create new value for our clients across all industries 

  • Implement customer-specific use cases and guide our client through the entire lifecycle from creative workshops to implementation 

  • Apply your skills to help our clients improve their data usage through data modeling & data visualization 

 

What we offer you: 

  • We offer you for this position according to the collective agreement for employees in data processing and information technology a gross monthly salary of at least € 3215 (Consultant) or € 4286 (Senior Consultant) depending on your previous experience.

  • Access to work on projects across industries (large and mid-market companies in Banking, Insurance, Automotive, Retail, etc.

  • Broaden your skills through interdisciplinary work and training in the areas of data engineering, cloud architecture, and data science 

  • Benefit from industry-leading cooperations in the cloud, BI, and AutoML field 

  • Very active social program - including training, conferences, team buildings, Reply Xchange, communities of practices, and hackathons 

  • Work in an open, flat environment, within a broad Reply knowledge-sharing network 

  • State-of-the-art equipment 

  • Gym-membership subsidy for a gym of your choice 

  • Flexible work environment between client, Reply office, and remote work 

Job requirements

Job requirements: 

Minimum Job Requirements / Qualifications: 

  • Experience and/or interest in the area of artificial intelligence 

  • Experience in relational databases & knowledge of SQL 

  • Experience in Software Engineering and related principles with knowledge of at least one additional programming language (e.g. Python, Java, …) 

  • Knowledge of visualization and frontend technologies is strongly preferred 

  • Bachelor’s and Master’s degree and a strong quantitative background, for example in Business Informatics, Business Science (with an additional background in Informatics), Computer Science 

  • Fluent in English and able to speak German at least at a B2 Level 

  • You are based in Tirol, Austria.

 

Desired: 

  • Experience in cloud infrastructure development and management 

  • Experience in the consulting industry 

  • Knowledge of technologies like Kubernetes, Docker, or Spark and principles like MLOps is a plus. 

  • Interest in (agile) project management. 

 

What are you waiting for? 

Join our team at Machine Learning Reply! 

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