MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- 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)
Benefits
- Offers Equity
- Offers Bonus
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