Senior MLOps & Cloud Solutions Engineer

Job Description

• 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.

Qualifications

• 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

Additional Information

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