Cloud & Python Engineer (with a twist of Data & ML) (m / w / d)

Machine Learning Reply; Berlin; Vor Ort; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

At a leading company, we're seeking a versatile Cloud Engineer to enhance our cloud-based projects across various industries. Ideal candidates will have strong Python skills, cloud proficiency, and the ability to collaborate with data teams. Join us to work on innovative cloud solutions and contribute to impactful projects.

Leistungen

Deutschlands Ticket

Gym subsidy

Company bike

Qualifikationen

• Strong Python skills for scripting and backend systems.
• Experience with AWS or Azure cloud services.
• Familiarity with data engineering concepts like ETL and SQL.

Aufgaben

• Build scalable microservices in Python or Java.
• Design and deploy cloud-native solutions.
• Collaborate with data scientists and MLOps teams.

Kenntnisse

Python

Cloud proficiency

Data engineering concepts

Tools

AWS

Azure

SpringBoot

Terraform

Kafka

Jobbeschreibung

At Machine Learning Reply, we work with our customers on cutting-edge projects, and we are looking for Cloud Engineers to support our cloud-based customer projects across various industries. To expand our team, we seek a talented and highly skilled consultant with a technical background to join us. As a consultant, you will provide expert advice and technical support to our clients.

Are you a Swiss Army knife in tech — comfortable juggling Python scripts, deploying to the cloud, wrangling data, and possibly spinning up a SpringBoot app when needed?

We’re looking for someone versatile, curious, and impact-driven — someone who doesn’t fit neatly into one box but wants to build across multiple domains.

Join us and work on cutting-edge projects ranging from scalable cloud platforms to data pipelines, backend services, and AI-powered applications.

What You’ll Do :

Depending on the project, you might :

• Build scalable microservices in Python (or Java, if that’s your expertise)
• Design and deploy cloud-native solutions on AWS, Azure, or both
• Set up or optimize data pipelines, working with structured & unstructured data
• Collaborate with data scientists and MLOps teams to deploy machine learning models into production
• Help architect end-to-end systems focusing on security, performance, and flexibility
• Bring technical vision to life across diverse client domains such as finance, telco, retail, and automotive

What You Bring :

• Strong Python skills — from scripting to APIs and backend systems
• Cloud proficiency — experience with at least one major cloud provider (AWS or Azure); familiarity with both is a plus
• Understanding of data engineering concepts (ETL, SQL, data lakes, Kafka, etc.)
• Exposure to Java and SpringBoot — enough to contribute or extend a service
• Bonus points for experience in :

MLOps and deploying machine learning models

• FastAPI, Flask, or other modern Python frameworks
• Infrastructure as Code tools (Terraform, Bicep, etc.)

Who You Are

• A tech generalist with a growth mindset
• Fluent in both “developer” and “data” languages
• Curious about machine learning, AI, or data-driven solutions
• Comfortable working across domains, clients, and team setups
• Enjoy solving real-world business problems with smart technology

Why You’ll Love Working With Us

• Variety of projects across cloud, data, and AI
• Autonomy and ownership — you’re not just a ticket-taker here
• Smart, diverse, and collaborative teammates
• An environment that promotes continuous learning and experimentation
• Comprehensive benefits including Deutschland Ticket, gym subsidy, company bike, and more

If this sounds like you, let’s talk! Apply now and elevate your cloud career with us.