About the Role
Make an impact at Lime as a Senior MLOps & Data Systems Engineer. Design critical ML pipelines for enhancing our vision in the shared micromobility landscape.
Lime seeks an experienced engineer to develop and scale the machine learning infrastructure for the Vision team. This remote position involves tackling significant challenges within micro-mobility while ensuring efficiency and scalability in model lifecycle management. You will play a vital role in creating systems that support continuous data-driven improvement.
Key Responsibilities:
• Design scalable data ingestion and model training pipelines
• Build annotation workflows integrated with data systems
• Analyze production signals to enhance model performance
• Implement ML experiment tracking and versioning practices
• Optimize CI/CD processes specific to ML applications
Requirements:
• 5+ years of relevant MLOps or Machine Learning experience
• Expertise in Python and familiarity with TensorFlow
Lime seeks an experienced engineer to develop and scale the machine learning infrastructure for the Vision team. This remote position involves tackling significant challenges within micro-mobility while ensuring efficiency and scalability in model lifecycle management. You will play a vital role in creating systems that support continuous data-driven improvement.
Key Responsibilities:
• Design scalable data ingestion and model training pipelines
• Build annotation workflows integrated with data systems
• Analyze production signals to enhance model performance
• Implement ML experiment tracking and versioning practices
• Optimize CI/CD processes specific to ML applications
Requirements:
• 5+ years of relevant MLOps or Machine Learning experience
• Expertise in Python and familiarity with TensorFlow
Ready to Apply?
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