ALTEN
Adesso SE
Senior ML Engineer (all genders)
PythonAWSGCPDockerKubernetes
Automatic translation. Check the original.
YOUR ROLE
- Design Production Architecture: You conceptualize and implement scalable ML architectures for highly available enterprise applications.
- Develop Training and Inference Pipelines: You build robust data, training, and deployment pipelines with clear CI/CD integration.
- Ensure Model Robustness: You implement monitoring, drift detection, and retraining mechanisms for production systems.
- Optimize Performance: You analyze latency, scaling behavior, and resource efficiency, and optimize models accordingly.
- Take Technical Responsibility: You steer technical decisions in ML projects and collaborate closely with platform and DevOps teams.
YOUR PROFILE
- 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.
- Profound Expertise: You are proficient in MLOps principles, model versioning, feature stores, and lifecycle management.
- Modern Tech Stack: You work confidently with Python, Docker, Kubernetes, MLflow, and at least one hyperscaler cloud such as AWS, Azure, or GCP.
- Structured Approach: You work in an engineering-oriented, test-driven manner with a clear focus on scalability and stability.
- AI Competence: You confidently use AI tools in your field, critically evaluate the results, and support clients and colleagues in leveraging AI potential.
- Language Skills: You communicate confidently and professionally in both German and English.
