Lead Machine Learning Engineer
Core
Lead the end-to-end development and optimization of scalable machine learning pipelines, focusing on MLOps, infrastructure-as-code, and productizing Generative AI solutions for security and compliance.
Role type
Senior IC lead machine learning engineer (MLOps & GenAI)
Builds
Scalable ML pipelines, automated retraining workflows, and production Generative AI solutions for security posture.
Domain
Security engineering, Generative AI, MLOps
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Docker, Kubernetes, Apache Airflow, MLOps, CI/CD, feature engineering, feature stores, infrastructure-as-code, Spark, Snowflake, ML governance
Preferred skills
NLP, ML research collaboration, mentoring, publications/patents
Technologies
TensorFlow, PyTorch, Docker, Kubernetes, Apache Airflow, Spark, Snowflake
Responsibilities
Define and drive technical ML strategy; lead end-to-end ML pipeline development; implement MLOps automation and monitoring; collaborate with cross-functional teams; mentor junior engineers.
Seniority
Senior, hands-on IC with leadership responsibilities
