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Machine Learning Engineer

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Full Remote
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Offer summary

Qualifications:

Understanding of Machine Learning and Data Science, Experience in Software Engineering and DevOps, Familiar with cloud-based solutions, Basic knowledge of cloud data infrastructure.

Key responsabilities:

  • Design and develop machine learning solutions
  • Coordinate infrastructure projects like cloud data lakes
  • Write software components in various languages
  • Set up development and deployment infrastructure
  • Research new ideas for industry disruption
  • Guide clients through lifecycle from workshops to implementation

Machine Learning Reply GmbH logo
Machine Learning Reply GmbH Scaleup https://www.reply.com/machine-learning-reply/de/#
51 - 200 Employees
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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: 

  • 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 

  • Award-winning office space in downtown Munich with access to “Stammstrecke” 

  • You choose your state-of-the-art equipment 

  • Public transport ticket with Deutschlandticket 

  • Gym-membership subsidy for a gym of your choice 

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

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Problem Solving

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