Technical leader for ML-powered Supply & Fleet Optimization Systems at Lime. Driving scalable, high-impact systems for fleet optimization and forecasting.
Responsibilities
Own the technical vision and roadmap for ML systems powering forecasting, supply positioning, and fleet optimization.
Lead end-to-end execution of complex, cross-functional ML initiatives.
Act as the primary technical decision-maker for the team.
Mentor and develop engineers, providing technical guidance.
Partner with product and operations leadership to shape strategy.
Establish best practices for ML development, deployment, monitoring, and iteration at scale.
Identify and drive high-leverage opportunities.
Serve as a hands-on technical leader, contributing to critical parts of the codebase.
Requirements
7+ years of experience in software engineering and machine learning
Demonstrated experience acting as a technical lead or de facto team lead
Strong system design skills, including architecture of scalable ML systems, data pipelines, and real-time or batch inference systems
Proven ability to translate ambiguous business problems into clear technical strategies
Experience mentoring and developing engineers
Strong coding skills in Python
Experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (SQL, Spark)
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