Senior Applied Machine Learning Developer, Asset Intelligence

MaintainX; Canada; On-site; CAD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation

Equity opportunities

Healthcare, dental, and vision

Job summary

MaintainX is seeking a Senior Applied Machine Learning Developer to guide the technical direction of Predictive Maintenance and Asset Intelligence initiatives. You will combine deep ML expertise with strong software development and leadership, mentoring developers and driving the roadmap for AI-enabled maintenance intelligence across thousands of industrial sites.

You’ll architect end-to-end ML systems, from data ingestion and feature development to model training, deployment, and monitoring,

Qualifications

• 7+ years in ML, data science, or applied AI.
• Proficiency in Python with ML frameworks.
• Experience deploying production ML systems at scale.
• Strong background in LLMs, time-series modeling, and anomaly detection.
• Leadership in architectural decisions and mentoring teams.
• Knowledge of MLOps tooling (Docker, Kubernetes, W&B, MLflow).
• Advanced degree (MS/PhD) preferred.

Responsibilities

• Lead technical direction for predictive maintenance and AI-powered intelligence across MaintainX products.
• Architect end-to-end ML systems—from data ingestion to deployment and monitoring.
• Mentor ML and data developers, promote good experimentation practices.
• Collaborate with product and software leaders to align AI roadmap with business goals.
• Design data and feedback loops connecting telemetry to model retraining.
• Drive performance optimization for latency, reliability, and scalability.
• Work with LangChain/LlamaIndex/Hugging Face to build AI reasoning systems.
• Ensure ML infrastructure meets production standards.

Skills

ML/AI experience

Python

PyTorch

TensorFlow

Cloud ML

LLMs

MLOps

Leadership

Education

MS/PhD in CS/ML

Tools

Docker

Kubernetes

Weights & Biases

MLflow

SageMaker

LangChain

LlamaIndex

Hugging Face

Job description

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 14,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the talent to match.

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.

Bonus skills:

• 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.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.

• Healthcare, dental, and vision coverage.

• 401(k) / RRSP enrollment program.

• Take what you need PTO.

• A high impact Culture:

  • You’ll work with Smart, Humble Optimists across the globe.

  • Meritocratic environment where ideas and outcomes are publicly celebrated.

About us:

We exist to make the lives of frontline and maintenance teams easier by building software that meets their real-world needs. Our product transforms how 80% of the global workforce—those who don’t sit behind a desk—manage their operations, assets, and teams.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.