Cobrainer GmbH
AI/ML Platform Engineer(m/w/x)
Full-timeOn-siteExperienced
München
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COCobrainer GmbH
Senior AI/ML Platform Engineer(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Developing and integrating platform components for a skill management system on AWS. 4+ years building data-centric software frameworks required. Complex AWS cloud infrastructure and robust data pipelines.
Requirements
- University degree in Computer Science, Data Science, Statistics, or comparable qualification
- 4+ years of 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
- Fluency in written and spoken English
- 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)
- Practical experience with the latest large language model (LLM) developments, including RAG architectures, prompt management, and advanced context engineering
- 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
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
- Design and 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
4 years
Education
Bachelor's degree
Languages
English – Business Fluent
Tools & Technologies
DockerGitLabGitHubCI/CDAWSTerraformAWS CDKNumPypandasscikit-learnPyTorchTensorFlowPrefectAirflowKubeflowSageMaker
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
Senior AI/ML Platform Engineer(m/w/x)
München
Full-timeOn-siteSenior
AI/ML
Nejo AI Summary
Developing and integrating platform components for a skill management system on AWS. 4+ years building data-centric software frameworks required. Complex AWS cloud infrastructure and robust data pipelines.
Requirements
- University degree in Computer Science, Data Science, Statistics, or comparable qualification
- 4+ years of 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
- Fluency in written and spoken English
- 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)
- Practical experience with the latest large language model (LLM) developments, including RAG architectures, prompt management, and advanced context engineering
- 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
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
- Design and 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
4 years
Education
Bachelor's degree
Languages
English – Business Fluent
Tools & Technologies
DockerGitLabGitHubCI/CDAWSTerraformAWS CDKNumPypandasscikit-learnPyTorchTensorFlowPrefectAirflowKubeflowSageMaker
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.
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