AIML Platform Engineer

Cobrainer; München; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading AI skills platform in Germany is looking for an AI/ML Platform Engineer to design and maintain infrastructure supporting AI operations. This role involves integrating AI models into distributed AWS systems, enhancing data orchestration, and developing automated deployment processes. Ideal candidates should have a degree in Computer Science, expertise in Python development, and experience with AWS and container technologies. This is a full-time position in Munich offering opportunities for impactful work in a growing tech environment.

Qualifikationen

• University degree in a relevant field.
• Experience in building data-centric software frameworks.
• Strong foundation in OOP principles.
• Proficiency in Linux software development.
• Experience with AWS, Docker, and CI/CD.

Aufgaben

• Design, build, and maintain scalable infrastructure for AI operations.
• Integrate AI/ML models into AWS-based systems.
• Develop robust data pipelines and orchestration processes.

Kenntnisse

Python development

Cloud-native experience on AWS

Building data pipelines

Linux-based software development

Container technologies

CI/CD pipelines

Ausbildung

University degree in Computer Science, Data Science, or Statistics

Tools

Docker

GitLab/GitHub

AWS services

NumPy

pandas

scikit-learn

PyTorch

TensorFlow

Prefect

Airflow

Kubeflow

SageMaker

Jobbeschreibung

THE ROLE

As an AI/ML Platform Engineer at Cobrainer you will design, build and maintain scalable infrastructure to support our AI and machine learning operations. You will play a central role in integrating large language models and skill graphs into distributed AWS-based systems ensuring reliability, scalability and efficiency. Beyond infrastructure you will contribute to data orchestration and model development helping to future‑prove Cobrainers Skills AI solutions.

IN THIS ROLE

• Break down product requirements into actionable engineering tasks for your team.
• Explain data constraints to engineering product and stakeholder teams.
• Integrate AI/ML models into distributed cloud architectures on AWS.
• Implement scalable infrastructure using AWS services (Fargate, Lambda, ECS etc.).
• Develop and maintain robust data pipelines and orchestration processes.
• Enhance automated deployment, logging and monitoring setups.
• Contribute to text analysis and NLP models to extract and structure core business data.

WHAT YOU NEED TO SUCCEED

Qualifications

• University degree in Computer Science, Data Science, Statistics or comparable qualification.
• Industry experience in building data‑centric software frameworks including infrastructure.
• Strong foundation in OOP software development.
• Proficiency in Linux‑based software development.
• Experience with container technologies (Docker), version control (GitLab/GitHub) and CI/CD pipelines.
• Agile mindset with experience in modern development practices.
• Fluent in written and spoken English.

Required Skills

• Advanced fluency in modern Python development including database management and software testing.
• Strong interest and hands‑on cloud‑native experience on AWS.
• Experience building and monitoring data pipelines.
• Experience preparing and manipulating datasets for model evaluation (structured, semi‑structured and unstructured data).

Preferred Skills

• Practical experience with the latest large language model (LLM) developments.
• Familiarity with data science frameworks (NumPy, pandas, scikit‑learn).
• Experience with deep learning frameworks (PyTorch, TensorFlow).
• Knowledge in one or more of: entity extraction/linking, document classification, knowledge graphs, recommendations/matching.
• Experience with orchestration and ML platforms such as Prefect, Airflow, Kubeflow, SageMaker.

About us

Cobrainer is the leading AI‑based skills platform for internal recruiting talent and skill management.

Established as a SaaS company in 2019 by students of TU‑Munich, Cobrainer has developed into the leading AI skill management solution of today.

The platform manages over 100,000 employee profiles for enterprise companies using AI to analyze employee skills and enabling faster, more targeted and more successful internal hiring.

Cobrainers database recognizes over 500,000 individual real‑world skills and matches employees to suitable positions, projects and training opportunities.

Employment Type : Full-Time

Experience: years

Vacancy: 1