MLOps Engineer

Pruna AI

MLOps Engineer managing machine learning infrastructure for Pruna AI's SaaS platform. Optimizing AI operations with a focus on accessibility and sustainability.

Posted 5/26/2026full-timeRemote • 🇩🇪 GermanyMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudJavaPythonTerraform

About the role

Key responsibilities & impact

Development of Pruna’s SaaS Platform
Contribute to the development and maintenance of Pruna’s SaaS cloud platform, designed for model compression and benchmarking
Design and develop responsive, user-friendly interfaces using basic frontend technologies
Implement and optimize backend services to support the platform’s functionalities, including model compression, performance evaluation, and user interaction through the UI
Collaborate with software engineers, ML engineers, and product teams to ensure seamless integration and high-quality user experience
Oversee the R&D cluster of the company, including individual machines on AWS that users can start and work on daily
Manage and maintain cluster for ML workload, facilitating the execution of batched experiments and jobs for the team
Ensure optimal performance, scalability, and reliability of the compute resources used for research and development
Scale ML Research Engineers' work, manage experimentation setups, pipelines, and testing environments
Collaborate with MLOps Engineers on the integration of Pruna's solutions in proprietary and established cloud platforms
Qualify new partnerships, experiment together on new tools and offering for the ML community to generate leads and convert customers

Requirements

What you’ll need

Good understanding of machine learning algorithms and techniques
Proficiency in programming languages commonly used in MLOps (e.g., Python, C++, Java)
Experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation
Experience with public APIs and software quality management
Expertise in cloud computing platforms
Experience with containerisation technologies
Experience in designing, managing, and optimising CI/CD pipelines
Experience with orchestration tools and automated deployment practices
Good communication and collaboration skills to work effectively across diverse teams
Experience in working within an agile development environment
Strong sense of project ownership and personal responsibility
Passionate about making AI accessible to everyone.
Experience with deep learning frameworks is a plus
Contributions to open-source MLOps projects or communities is a plus

Benefits

Comp & perks

Meal vouchers
Health & wellness solutions
Mobility
Travel policy to visit fellow Pruners
Remote stipend for your home workspace

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learning algorithmsPythonC++Javainfrastructure as codeTerraformCloudFormationcontainerisation technologiesCI/CD pipelinesorchestration tools

Soft Skills

communication skillscollaboration skillsproject ownershippersonal responsibility