Machine Learning Engineer

• Build and ship production-ready AI agents that automate key workflows (e.g., appointment setting, inventory ordering).
• Design and implement workflows and scripts for agentic conversations based on real-world data.
• Perform discovery with your Squad on key customer use cases and guide the development of use-case-driven agents.
• Conduct end-to-end development including data gathering, hypothesis testing, prototyping, demoing, productionizing, and monitoring.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Design evaluation agents to enhance the quality and coherence of autonomous conversations.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.

Senior ML Engineer

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Mid-Level AI/ML/NLP Engineer