Senior MLOps & Cloud Solutions Engineer

Machine Learning Model Integration. Replace existing machine learning libraries with TensorFlow Lite. Integrate TensorFlow Lite with the build system and application. Ensure compliance with open-source license rules. Develop and finalize integration tests for model integration. Define and implement a format for model storage and versioning. Create debugging or playback mechanisms to diagnose field issues. Cloud Integration. Implement model conformance verification logic for cloud-based deployments. Integrate TensorFlow for various detection algorithms (e.g., smoke detection). Standardize TensorFlow models for embedded systems. Develop high-level model standardization for different detection algorithms. Establish methodologies to ensure correct model serialization Manage datasets related to machine learning model development and deployment. Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field. Experience with other ML frameworks and libraries. Familiarity with automotive or industrial applications of ML. Extensive experience with TensorFlow and TensorFlow Lite. Proven track record of integrating ML models into production systems. Experience with model storage, versioning, and serialization. Strong proficiency in C++ and Python. Experience with build systems and continuous integration/continuous deployment (CI/CD) pipelines. Familiarity with open-source software and ensuring compliance with licensing rules Knowledge of standardization practices for embedded ML models. Experience with embedded systems and real-time processing. : Experience in developing integration tests for ML models. Ability to devise debugging and playback mechanisms for diagnosing field issues. Experience with cloud-based ML model deployment and conformance verification. Strong communication skills and the ability to work in a collaborative team environment Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity