Cobrainer

Senior AI/ML Platform Engineer

Cobrainer  •  Federal Republic of Germany (Onsite)  •  3 months ago
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Job Description

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.
Cobrainer

About Cobrainer

Transformation pressure is real and AI multiplies it.

Most organizations don’t fail because of a lack of talent, but because they don’t know what skills they already have, what’s missing, or what’s changing.

Cobrainer gives HR and business leaders full clarity on their people and skills.

With our Skills Platform you can build and maintains your company specific Job & Skill Architecture – a living, data-driven map that connects every role, skill, and person across your company.

Fully integrated into existing HCM Systems like SAP SuccessFactors, Workday and ServiceNow, Cobrainer delivers measurable results within weeks:

• 4 weeks to a live Job & Skill Architecture

• +400 % increase in internal staffing

• 80% less time spent on performance and development reviews

With this foundation, HR teams can finally design skill-based processes that actually work – from recruiting and learning to workforce transformation and pay transparency.

Cobrainer is the AI that makes organizations clear, agile, and ready for the future of work.

Industry
IT & Software
Company Size
11-50 employees
Headquarters
Munich, DE
Year Founded
Unknown
Website
cobrainer.com
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