Hiring: Senior Applied Machine Learning Developer, Asset Intelligence Company: MaintainX Location: Seattle, WA Job Posted Time: 2026-09-10 12:01:33 Target Skills & Keywords : AWS, Databricks, Docker, Hugging Face, Kubernetes, LLM, LangChain, LlamaIndex, MLOps, MLflow, Machine Learning, PyTorch, Python, Reinforcement Learning, SageMaker, Shell, TensorFlow About the job Experience: •7+ years of experience in Machine Learning, Data Science, or Applied AI. Required Skills: •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. Qualifications: •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. Compensation: •$131,400 - $236,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!