Offer summary

Qualifications:

Proficiency in Python and experience with Java is a plus., Strong understanding of cloud platforms such as AWS and Azure., Experience in building and optimizing data pipelines for structured and unstructured data., Familiarity with machine learning concepts and collaboration with data scientists..

Key responsabilities:

Build scalable microservices and cloud-native solutions for various projects.

Design and optimize data pipelines while ensuring data integrity.

Collaborate with data scientists to deploy machine learning models into production.

Architect end-to-end systems focusing on security, performance, and flexibility.

Job description

Company Description

At Machine Learning Reply, we work with our customers on cutting-edge projects for which we are looking for Cloud Engineers to support our cloud-based customer projects in various industries. To expand our team, we are looking for a talented and highly skilled consultant with a technical background to join our team. As a consultant, you will be responsible for providing 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 maybe even spinning up a SpringBoot app when needed?

We’re looking for someone versatile, curious, and impact-driven — someone who doesn’t fit neatly in one box, because you want to build across them all.

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

What You’ll Do:

Depending on the project, you might:

Build scalable microservices in Python (or Java, if that’s your jam)
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 to bring machine learning models into production
Help architect end-to-end systems with a focus on security, performance, and flexibility
Bring technical vision to life across diverse client domains (finance, telco, retail, automotive…)

Required profile