Architect, develop and deploy ML systems to production (chatbots and search).
Design and run experiments.
Analyze varied data (structured and unstructured) to improve models.
Develop LLM-powered apps; test prompts and guardrails.
Collaborate with Data Science chapter and cross-functional teams.
Work with Product, Designers, Data Scientists, ML Engineers and Software Engineers.

🎯 Requirements

Proficiency in Python.
Strong ML concepts: regression, classification, clustering, neural nets.
Experience deploying ML systems to production.
Knowledge of Deep Learning.
Technical leadership experience.
Excellent written and verbal English communication.

🎁 Benefits

Competitive salary
Profit sharing
Health insurance
Dental plan
Home office allowance
Employee assistance program

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