Adesso SE

Senior ML Engineer (all genders)

PythonAWSGCPDockerKubernetes
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YOUR ROLE

  1. Design Production Architecture: You conceptualize and implement scalable ML architectures for highly available enterprise applications.
  1. Develop Training and Inference Pipelines: You build robust data, training, and deployment pipelines with clear CI/CD integration.
  1. Ensure Model Robustness: You implement monitoring, drift detection, and retraining mechanisms for production systems.
  1. Optimize Performance: You analyze latency, scaling behavior, and resource efficiency, and optimize models accordingly.
  1. Take Technical Responsibility: You steer technical decisions in ML projects and collaborate closely with platform and DevOps teams.

YOUR PROFILE

  1. Experience & Education: You have at least five years of experience in developing and operating production Machine-Learning systems in an enterprise environment and hold a degree in Computer Science, Software Engineering, Data Science, or a comparable technical field.
  1. Profound Expertise: You are proficient in MLOps principles, model versioning, feature stores, and lifecycle management.
  1. Modern Tech Stack: You work confidently with Python, Docker, Kubernetes, MLflow, and at least one hyperscaler cloud such as AWS, Azure, or GCP.
  1. Structured Approach: You work in an engineering-oriented, test-driven manner with a clear focus on scalability and stability.
  1. AI Competence: You confidently use AI tools in your field, critically evaluate the results, and support clients and colleagues in leveraging AI potential.
  1. Language Skills: You communicate confidently and professionally in both German and English.

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