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
- Designing and deploying production machine learning models that drive Lime's core pricing decisions. Collaborating with teams to influence pricing strategy and backend services.
Responsibilities
- Translate complex business problems into solutions that leverage end-to-end, production-level machine learning systems
- Develop, iterate on, and productionize machine learning models, owning both model logic and supporting systems.
- Implement and own backend pricing services and APIs consumed by the Lime App.
- Architect and build scalable, reliable platforms and services that power pricing decisions and enable new product initiatives.
- Build trust with leadership to influence the company's pricing strategy through reasoning and communication of model performance and technical vision
- Collaborate with other Software Engineers and Data Scientists to raise the bar on ML standards and Engineering Excellence
- Mentor and support engineers on the team, helping grow technical depth and develop future leaders.
Requirements
- 5+ years of industry professional software engineering experience deploying machine learning methods at scale in production level systems.
- 2+ years of experience in Reinforcement Learning with expertise implementing customized reward functions, policy optimization, and multi-armed bandits.
- 2+ years of backend development experience (Ruby on Rails is a plus).
- Fluency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (e.g. SQL, pandas, spark, airflow)
- Experience with cloud computing services or platforms (preferably AWS).
- Experience with both Snowflake and Sagemaker is a plus.
Benefits
- Offers Equity
- Offers Bonus
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