THE ROLE

As a Senior 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-proof Cobrainer's 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.
• Design and 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.
• 4+ years of 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.
• Hands-on cloud-native development experience on AWS.
• Proficiency in provisioning and managing scalable cloud resources using Infrastructure as Code (IaC) frameworks such as Terraform or AWS CDK.
• Proven track record in large-scale data pipeline orchestration.
• 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, including RAG architectures, prompt management, and advanced context engineering.
• Experience with infrasturc
• 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 the employee skills and enabling faster, more targeted and more successful internal hiring.
Cobrainer’s database recognizes over 500,000 individual, real-world skills and matches employees to suitable positions, projects and training opportunities.