AI Engineering Tech Lead

Role Overview

Lead the design and implementation of machine learning models using Python, NumPy, and Pandas. Develop and maintain robust APIs with GraphQL and REST to support data integration. Utilize MLflow for managing the machine learning lifecycle, ensuring efficient model tracking and deployment. Oversee containerization and orchestration of applications using Docker and Kubernetes.

What You Will Do

Collaborate with cross-functional teams to align engineering efforts with business objectives. Drive best practices in software development and machine learning engineering to enhance product quality. Mentor junior engineers and contribute to a culture of continuous learning and improvement.

Why It Might Be a Fit

5+ years of experience in machine learning engineering or a related field. Proficient in Python and familiar with data manipulation libraries such as NumPy and Pandas. Experience with developing and consuming APIs using GraphQL and REST. Solid understanding of containerization and orchestration technologies like Docker and Kubernetes.

Requirements

• 5+ years of experience in machine learning engineering or a related field
• Proficient in Python and familiar with data manipulation libraries such as NumPy and Pandas
• Experience with developing and consuming APIs using GraphQL and REST
• Solid understanding of containerization and orchestration technologies like Docker and Kubernetes

Benefits

• Competitive equity options
• Base salary $210K-$250K