Solaris
Adesso SE
Senior ML Engineer (all genders)
PythonAWSGCPDockerKubernetes
Automatic translation. Check the original.
YOUR ROLE
- Design production architecture: You will conceptualize and implement scalable ML architectures for high-availability enterprise applications.
- Develop training and inference pipelines: You will build robust data, training, and deployment pipelines with clear CI/CD integration.
- Ensure model robustness: You will implement monitoring, drift detection, and retraining mechanisms for production systems.
- Optimize performance: You will analyze latency, scaling behavior, and resource efficiency, and optimize models accordingly.
- Assume technical responsibility: You will drive technical decisions in ML projects and work closely with platform and DevOps teams.
YOUR PROFILE
- Experience & Education: You have at least five years of experience in the development and operation of production Machine-Learning systems in an enterprise environment and hold a degree in computer science, software engineering, data science, or a comparable technical field.
- In-depth 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 with an engineering-oriented, test-driven mindset and 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 adessi in leveraging the potential of AI.
- Language skills: You communicate confidently and professionally in German and English.
