Senior Machine Learning Engineer, CX Intelligence

📋 Description

• Architect and deploy orchestration layer across vendor and internal LLMs.
• Build production-grade Python services bridging ML research with customer products.
• Lead end-to-end ML initiatives from design to delivery.
• Establish best practices for system design, coding standards, and ML workflows.
• Mentor engineers on architecture and modern AI/ML patterns.
• Conduct design reviews for security, scalability, and performance.

🎯 Requirements

• 5+ years in ML and software engineering shipping production ML services.
• Hands-on with LLMs and DL; LangGraph, LangSmith, Google ADK, Vertex AI, Bedrock.
• Strong Python proficiency; production-grade, well-tested code.
• Specialized knowledge in NLP, information retrieval, CV, or modeling.
• Able to write technical design docs and present ML architectures to stakeholders.
• Uses generative AI responsibly with human oversight to improve workflows.

🎁 Benefits

• Remote-first company with quarterly in-person surges.
• Equity and bonus eligibility.
• Medical, dental, and vision benefits.