Maintain X is a leading mobile-first work execution platform for industrial and frontline teams.More than 13,000 customers, including Duracell, Mc Donald's, Shell, DHL and Volvo, use Maintain X to cut unplanned downtime and run better operations, across 13.9 million managed assets and 79.5 million completed work orders.In August 2026 Maintain X became part of Autodesk, joining Autodesk Operations Solutions, the organization unifying Autodesk's operations platform alongside Tandem, Flex Sim 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.Maintain X is the world’s leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments. We’re a modern, Io T-enabled, cloud-based solution that powers maintenance, safety, and operations on physical equipment and facilities.We help 12,000+ organizations—including Duracell, Univar Solutions, Titan America, Mc Donald’s, Brenntag, Cintas, Xylem, and Shell—achieve operational excellence and reliability at scale.Following our $150 million Series D led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, Maintain X has raised a total of $254 million, valuing the company at $2.5 billion.As we enter our next phase of growth, we’re investing deeply in AI/ML, LLMs, and Industrial Io T to transform how frontline teams operate—predicting failures before they happen, automating workflows, and embedding intelligence into every asset and procedure.The RoleWe are seeking a highly skilled and motivatedSenior Applied Machine Learning Developerto 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, Io T data systems, and product impact, shaping the foundation for Maintain X’s predictive and generative AI strategy.What you’ll do:Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across Maintain X products.Architect end-to-end ML systems—from data ingestion and feature development to model training, deployment, and ntor 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 (Lang Chain, Llama Index, 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 Py Torch, Tensor Flow, 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, Sage Maker).Advanced degree (MS/Ph D)



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 withIndustrial Io T systems(sensors, telemetry, edge computing).Experience applyingreinforcement learningoragentic architecturesfor decision-making and control ntributions 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 ritocratic 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.Maintain X 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 keep the physical world running. Factories, fleets, hospitals and campuses stay up because the people who maintain them have tools worth using. That is what we build.Benefits, retirement and time off are described at benefits..More on where this is going: Autodesk CEO Andrew Anagnost on building the future of connected operations, and AOS SVP Stephen Hooper on welcoming Maintain X to Autodesk.Maintain X is committed to creating a diverse setting. 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.

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