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-proof 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 100000 employee profiles for enterprise companies using AI to analyze the employee skills and enabling faster more targeted and more successful internal hiring.
Cobrainers database recognizes over 500000 individual real-world skills and matches employees to suitable positions projects and training opportunities.
Required Experience:
IC
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 syste...
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-proof 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 100000 employee profiles for enterprise companies using AI to analyze the employee skills and enabling faster more targeted and more successful internal hiring.
Cobrainers database recognizes over 500000 individual real-world skills and matches employees to suitable positions projects and training opportunities.
Required Experience:
IC
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