- We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset Intelligence initiatives

- You’ll combine deep ML expertise with strong software development and leadership skills—mentoring developers, scaling systems, and driving the roadmap for AI-enabled maintenance intelligence across thousands of industrial sites

- This role sits at the intersection of ML architecture, IoT data systems, and product impact, shaping the foundation for MaintainX’s predictive and generative AI strategy

- Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products

- Architect end-to-end ML systems—from data ingestion and feature development to model training, deployment, and monitoring

- Mentor a growing team of ML and data developers, instilling best practices for experimentation, evaluation, and model lifecycle management

- Partner with product and software development leaders to align AI roadmap with customer needs and business goals

- Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining

- Drive performance optimization through techniques like quantization, distillation, and scalable inference serving

- Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence





- Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security

Benefits

- Versatile time off

- Training and development investments

- Comprehensive healthcare coverage
- Competitive salary and equity opportunities- Proven experience deploying production ML systems—not just prototypes—at scale

- Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar)

- 7+ years of experience in Machine Learning, Data Science, or Applied AI

- Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker)

- Demonstrated ability to lead architectural decisions, mentor developers, and collaborate across product, data, and platform teams

- Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred

- Strong background in LLMs, time-series modeling, and anomaly detection for real-world data

- Background in time-series modeling for predictive maintenance and anomaly detection

- Experience with OCR for extracting structured data from documents

- Familiarity with Industrial IoT systems (sensors, telemetry, edge computing)

- Experience applying reinforcement learning or agentic architectures for decision-making and control systems

- Contributions to open-source ML frameworks or research in reliability, explainability, or digital twins

📌 Senior Applied Machine Learning Engineer (Asset Intelligence) (Canada)
🏢 MaintainX
📍 Canada