MaintainX
Senior Applied Machine Learning Engineer - Asset Intelligence
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Canada
Employer listed it 4 weeks ago · Added 4 days ago
Been open since 4 weeks ago, still checked daily, but it has been live a while.
Salary
$123,000–$180,000
Location
Hybrid · Canada
Timezone
US East
Contract
Full-time
Experience
Senior
Category
Data
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Canada, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Canada, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
MaintainX is a leading mobile-first work execution platform for industrial and frontline teams. More than 13,000 customers , including Duracell, McDonald's, Shell, DHL and Volvo, use MaintainX to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 million completed work orders.
In August 2026 MaintainX became part of Autodesk, joining Autodesk Operations Solutions , the organization unifying Autodesk's operations platform alongside Tandem, FlexSim and Fusion Operations. Autodesk's strategy is to converge design, make and operate into one continuous lifecycle: design an asset, build it, run it, then feed what you learn running it back into the next design. Autodesk had design and make. Operate is the phase that tells you what actually happened, and it is ours.
As we enter our next phase of growth, we’re investing deeply in AI/ML, LLMs, and Industrial IoT to transform how frontline teams operate—predicting failures before they happen, automating workflows, and embedding intelligence into every asset and procedure.
The Role
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.
What you’ll do:
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.
About you:
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).
Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred.
Requirements
- ·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.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at MaintainX, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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