Senior Applied Machine Learning Engineer - Asset Intelligence
Core
Architect and lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence systems to transform frontline operations.
Role type
Senior Applied Machine Learning Engineer (Predictive Maintenance & Asset Intelligence)
Builds
End-to-end ML systems for predictive maintenance, anomaly detection, and agentic workflows integrated into industrial asset intelligence platforms.
Domain
Industrial IoT, Predictive Maintenance, Generative AI, Asset Intelligence
Deliverable
production ML models
Required skills
Machine Learning architecture, Python, PyTorch, TensorFlow, LLMs, time-series modeling, anomaly detection, MLOps, system design, team mentorship
Preferred skills
OCR for structured data extraction, reinforcement learning, agentic architectures, digital twins, open-source ML contributions
Technologies
LangChain, LlamaIndex, Hugging Face, Docker, Kubernetes, Weights & Biases, MLflow, SageMaker, AWS, Databricks
Responsibilities
Lead technical direction for predictive maintenance and LLM-powered intelligence; Architect end-to-end ML systems from data ingestion to deployment; Mentor ML and data developers; Partner with product leaders to align AI roadmap; Design data feedback loops for model retraining; Optimize model performance via quantization and distillation.
Seniority
Senior, hands-on IC with leadership responsibilities