Lead Machine Learning Engineer
Core
Lead AIOps innovation by owning research, architecture, and delivery of AI-driven solutions for IT operations, focusing on predictive maintenance, anomaly detection, and incident automation.
Role type
Senior IC machine learning engineer (AIOps) with team leadership
Builds
Production-grade AI systems for IT operations (anomaly detection, predictive maintenance, incident correlation)
Domain
IT Operations / AIOps / Generative AI
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Natural Language Processing, Generative AI, Large Language Models, Python, TensorFlow, PyTorch, Scikit-learn, MLOps, Technical Leadership, System Architecture
Preferred skills
Agentic AI, Databricks, Cloud AI services (AWS, Azure, GCP), AIOps platforms, R&D experience, DevOps workflows
Technologies
TensorFlow, PyTorch, Scikit-learn, Databricks, AWS, Azure, GCP
Responsibilities
Lead R&D initiatives for AI-driven AIOps solutions, Design and implement systems for predictive maintenance and anomaly detection, Drive adoption of Generative AI & LLMs for IT operations, Own end-to-end AI project delivery, Mentor and scale a team of AI/ML engineers and researchers, Define AIOps strategy, roadmap, and innovation goals
Seniority
Senior, hands-on IC with leadership
