Senior MLOps & Data Systems Engineer

About

Join Lime as a Senior MLOps & Data Systems Engineer and drive innovation in micro-mobility technology. Implement scalable machine learning systems to support our Vision team.

In this exciting role at Lime, you will focus on enhancing data-driven solutions that enable seamless development and deployment of machine learning models. As a critical team member, you will build robust pipelines that cater to real-world mobility challenges, emphasizing data quality and pipeline efficiency. Your contributions will directly impact the evolution of shared transportation solutions.

Key Responsibilities:

• Build and maintain end-to-end ML pipelines for data processes
• Integrate annotation and validation workflows efficiently
• Drive data-centric improvements through performance analysis
• Enable reproducibility with experiment tracking systems
• Support model deployment to edge environments

Requirements:

• Minimum 5 years in MLOps or Machine Learning Engineering
• Strong programming skills, particularly in Python
• Experience with cloud-based ML systems and CI/CD tools
• Familiarity with data lineage and version control
• Proven capacity to solve complex data challenges

Leverage your skills at Lime to shape the future of transportation technology.