Cobrainer GmbH
Senior AI/ML Platform Engineer(m/w/x)
Full-timeOn-siteSenior
München
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COCobrainer GmbH
AI/ML Platform Engineer(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Integrating AI/ML models into distributed AWS cloud architectures for a talent management skill-platform. Industry experience building data-centric software frameworks required. Focus on cutting-edge AI/ML technologies and scalable cloud infrastructure.
Requirements
- University degree in Computer Science, Data Science, Statistics, or comparable qualification
- Industry experience in building data-centric software frameworks
- 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
- 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
- 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 entity extraction/linking, document classification, knowledge graphs, recommendations/matching
- Experience with orchestration and ML platforms such as Prefect, Airflow, Kubeflow, SageMaker
Tasks
- Break down product requirements into actionable engineering tasks
- 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
- 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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Docker
- GitLab
- GitHub
- CI/CD
- Linux
- Python
- AWS
- NumPy
- pandas
- scikit-learn
- PyTorch
- TensorFlow
- Prefect
- Airflow
- Kubeflow
- SageMaker
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Cobrainer GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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COCobrainer GmbH
AI/ML Platform Engineer(m/w/x)
München
Full-timeOn-siteExperienced
AI/ML
Data Science
Nejo AI Summary
Integrating AI/ML models into distributed AWS cloud architectures for a talent management skill-platform. Industry experience building data-centric software frameworks required. Focus on cutting-edge AI/ML technologies and scalable cloud infrastructure.
Requirements
- University degree in Computer Science, Data Science, Statistics, or comparable qualification
- Industry experience in building data-centric software frameworks
- 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
- 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
- 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 entity extraction/linking, document classification, knowledge graphs, recommendations/matching
- Experience with orchestration and ML platforms such as Prefect, Airflow, Kubeflow, SageMaker
Tasks
- Break down product requirements into actionable engineering tasks
- 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
- 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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Docker
- GitLab
- GitHub
- CI/CD
- Linux
- Python
- AWS
- NumPy
- pandas
- scikit-learn
- PyTorch
- TensorFlow
- Prefect
- Airflow
- Kubeflow
- SageMaker
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Cobrainer GmbH and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Cobrainer GmbH
Industry
IT
Description
Cobrainer ist die führende KI-basierte Skill-Plattform für internes Recruiting, Talent- und Skill-Management.
Not a perfect match?
- Cobrainer GmbH
Senior AI/ML Platform Engineer(m/w/x)
Full-timeOn-siteSeniorMünchen - Helsing
AI Research Engineer - ML Engineering(m/w/x)
Full-timeOn-siteExperiencedBerlin, München - SAP
Architect for Foundation Model and Data Platform(m/w/x)
Full-timeOn-siteSeniorPotsdam, Walldorf, Berlin, München - Roland Berger
AI Manager – Enterprise Applications(m/w/x)
Full-timeOn-siteManagementMünchen - SAP
Agentic AI Engineer Expert(m/w/x)
Full-timeOn-siteExperiencedGarching bei München