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AI/ML Platform Engineer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Docker
- GitLab
- GitHub
- CI/CD
- Linux
- Python
- AWS
- NumPy
- pandas
- scikit-learn
- PyTorch
- TensorFlow
- Prefect
- Airflow
- Kubeflow
- SageMaker
Noch nicht perfekt?
- Cobrainer GmbHVollzeitnur vor OrtSeniorMünchen
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Vollzeit/Teilzeitnur vor OrtSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruheab 76.000 / Jahr
AI/ML Platform Engineer(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Docker
- GitLab
- GitHub
- CI/CD
- Linux
- Python
- AWS
- NumPy
- pandas
- scikit-learn
- PyTorch
- TensorFlow
- Prefect
- Airflow
- Kubeflow
- SageMaker
Über das Unternehmen
Cobrainer GmbH
Branche
IT
Beschreibung
Cobrainer ist die führende KI-basierte Skill-Plattform für internes Recruiting, Talent- und Skill-Management.
Noch nicht perfekt?
- Cobrainer GmbH
Senior AI/ML Platform Engineer(m/w/x)
Vollzeitnur vor OrtSeniorMünchen - Helsing
AI Research Engineer - ML Engineering(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, München - Roland Berger
AI Manager – Enterprise Applications(m/w/x)
Vollzeitnur vor OrtManagementMünchen - SAP
Agentic AI Engineer Expert(m/w/x)
Vollzeitnur vor OrtBerufserfahrenGarching bei München - XITASO GmbH
Senior AI Engineer(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruheab 76.000 / Jahr