Related skills
optimization aws python mlops llmπ Description
- Leverage data to solve a wide range of meaningful business problems with appropriate complexity.
- Partner with Engineering, PM, and Care Operations to define strategy and execute.
- Design and implement robust frameworks and metrics to measure data products' impact.
- Research operational/logistical problems and proactively identify potential solutions.
- Lead the design, implementation, and evaluation of descriptive and predictive models.
- Champion LLM-driven workflows and collaborate with Engineering to productionize agent-based features.
π― Requirements
- 5+ years of professional experience solving complex business problems, with Python in production.
- Strong foundation in traditional predictive ML (classification, regression, tree-based models like XGBoost) and know when to use standard models versus LLMs.
- Deep expertise in at least one of the following: Optimization or Agentic AI.
- Excellent mathematical and statistical foundations; degree in a quantitative field or equivalent experience.
- You are able to manage product ambiguity and drive measurable outcomes.
- You rapidly iterate and deliver technical solutions that maximize business impact.
π Benefits
- Equity packages that increase with position level.
- 401K with up to 4% employer match.
- Medical, dental, and vision coverage with zero-cost plans for employees.
- Employer-paid disability and life insurance with optional additional coverage.
- Generous time off, mental health benefits, wellness program, and discount program.
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