Lead Machine Learning Engineer-MLOps Vice President

What you’d do

Develop and maintain scalable machine learning pipelines for training and inference on GPU clusters. Manage vector databases and monitoring systems. Collaborate with teams to integrate technologies and improve infrastructure. Full-time role. Found on the employer's careers page on Oct 23, 2026. Apply through the link.

You’ll need

• BS in Computer Science or related field with 6+ years experience or MS with 4+ years
• Extensive experience in Python
• Experience with scalable ML pipelines and GPU clusters
• Knowledge of data science fundamentals and model deployment