ML Engineer (W/M/D)
Full-time Mid-Senior LevelJob Overview
- Design, develop, and deploy end-to-end Machine Learning models, from experimentation through to production.
Build and maintain robust data pipelines for model training, evaluation, and deployment.
Implement and evolve MLOps practices: model versioning, production monitoring, reproducibility, and continuous improvement.
Develop APIs and microservices to expose ML models to business applications.
Analyze large datasets, identify modeling challenges, propose solutions, and iterate quickly.
Collaborate closely with Data, Product, and Engineering teams to turn prototypes into scalable, reliable production solutions.
Stay current on academic and industrial advances in Machine Learning and apply them to real-world use cases.
Contribute to best practices in testing, CI/CD, and deployment automation.