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Senior Applied Machine Learning Developer, Asset Intelligence

📅 Jul 28
Machine LearningData ScienceApplied AIPython

📜 Description

  • 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 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.

🛠️ 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 at scale.
  • Strong background in LLMs, time-series modeling, and anomaly detection for real-world data.
  • Demonstrated ability to lead architectural decisions and mentor developers.
  • Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).
  • Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred.

Benefits

  • Competitive salary and meaningful equity opportunities.
  • Healthcare
  • Dental
  • Vision coverage
  • Take what you need PTO.
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