Machine Learning Engineer(m/f/d)

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 

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 

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