Note: The job is a remote job and is open to candidates in USA. MaintainX is an AI-powered maintenance and asset management platform for industrial and frontline environments. The company is seeking a Senior Applied Machine Learning Engineer to lead the technical direction and architecture of predictive maintenance and asset intelligence initiatives. The role involves designing and scaling production ML systems, mentoring developers, and advancing AI-enabled maintenance intelligence.
Responsibilities
- 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
Skills
- • 7+ years of experience in Machine Learning, Data Science, or Applied AI
- • Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar)
- • Proven experience deploying production ML systems—not just prototypes—at scale
- • Strong background in LLMs, time-series modeling, and anomaly detection for real-world data
- • Demonstrated ability to lead architectural decisions, mentor developers, and collaborate across product, data, and platform teams
- • Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker)
- • Experience with OCR for extracting structured data from documents
- • Background in time-series modeling for predictive maintenance and anomaly detection
- • 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
- • Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred
Benefits
- Meaningful equity opportunities
- Healthcare, dental, and vision coverage
- 401(k) / RRSP enrollment program
- Take what you need PTO
- Hybrid work arrangement
- A high impact culture: You’ll work with Smart, Humble Optimists across the globe.
- Meritocratic environment where ideas and outcomes are publicly celebrated.
Company Overview
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