ML Engineer

Building and deploying production-grade ML systems for an AI startup that analyzes real-world conversations. The role focuses on audio ML and LLMs, owning the full model lifecycle from data to deployment.

• Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle.
• Architect and deliver AI-powered solutions for natural speech interaction and real-time audio understanding.
• Develop and optimize ML models focused on audio data to extract business insights.
• Build agents capable of operating on real-world audio inputs.
• Collaborate with cross-functional teams to innovate in LLM and audio ML applications.
• Handle the entire AI lifecycle: data acquisition, preprocessing, training, deployment, inference, monitoring.

• Bachelor's or Master's degree in CS, ML, AI, or related field.
• 1-6 years of professional experience in ML engineering.
• Strong programming skills in Python.
• Hands-on experience with PyTorch or TensorFlow.
• Familiarity with AWS cloud environment.
• Understanding of data pipeline design, real-time inference, and model monitoring.

• TypeScript experience.
• Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, S3.