about 2 hours ago
Responsibilities
- Lead technical direction for predictive maintenance and anomaly detection across MaintainX products.
- Architect end-to-end ML systems from data ingestion to model monitoring.
- Mentor ML and data engineers on best practices for model lifecycle management.
- Collaborate with product and engineering leaders to align AI roadmap with customer needs.
- Design data and feedback loops for model retraining based on customer telemetry.
- Drive performance optimization using techniques like quantization and scalable inference.
- Work with LLM frameworks to build reasoning systems for asset intelligence.
Requirements
- 7+ years of experience in Machine Learning, Data Science, or Applied AI.
- Expertise in Python and familiarity with PyTorch, TensorFlow, and cloud ML stacks.
- Proven experience deploying production ML systems at scale.
- Strong background in LLMs, time-series modeling, and anomaly detection.
- Demonstrated ability to lead architectural decisions and mentor engineers.
- Knowledge of MLOps tooling such as Docker and Kubernetes.
- Advanced degree in Computer Science, Machine Learning, or related field preferred.
Benefits
- Competitive salary and meaningful equity opportunities.
- Healthcare, dental, and vision coverage.
- 401(k) / RRSP enrollment program.
- Take what you need PTO.
- A meritocratic environment that celebrates ideas and outcomes.