Ai/ml Engineer Iii

Astreya GmbH

Hybrid
4-6 years ml/ai implementation experience
Python programming and sql skills
Deep learning architectures (transformers, llms)
Astreya GmbH is seeking an AI/ML Engineer III to lead the development and deployment of machine learning solutions, translating business objectives into measurable metrics and ensuring compliance with ethical AI practices. The ideal candidate will have extensive experience in ML implementation, strong programming skills, and a collaborative mindset to work across various teams

Job Summary

  • This role requires translating ambiguous business goals into measurable ML metrics and owning the full lifecycle from prototyping to deployment.
  • The successful candidate will architect scalable ML pipelines, ensure reproducibility, and champion responsible AI practices across the organization.
  • Key responsibilities include developing observability dashboards, leading cross-functional collaboration, and driving the adoption of emerging ML trends.

Matching Summary

Match Score: 85

Astreya GmbH is seeking an AI/ML Engineer III to lead the development and deployment of machine learning solutions, translating business objectives into measurable metrics and ensuring compliance with ethical AI practices. The ideal candidate will have extensive experience in ML implementation, strong programming skills, and a collaborative mindset to work across various teams.

Skills & Requirements

Must-have

  • 4-6 years ML/AI implementation experience
  • Python programming and SQL skills
  • Deep learning architectures (Transformers, LLMs)
  • MLOps CI/CD pipeline development
  • Cloud-native AI services (GCP Vertex AI)

Nice-to-have

  • Experience with GenAI and prompt engineering
  • Strong communication with non-technical stakeholders
  • Knowledge of ethical AI and bias detection
  • Familiarity with ITSM systems integration
  • Ability to lead strategic POCs

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • Master's degree preferred for senior levels
  • 4-6 years of experience in ML/AI implementation
  • Google Cloud Professional Machine Learning Engineer certification (preferred)
  • TensorFlow Developer Certificate (preferred)

Work Rights

Not specified

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