Senior Applied Machine Learning Developer, Asset Intelligence
Core
Architecting and leading end-to-end ML systems for predictive maintenance, anomaly detection, and LLM-powered intelligence to transform frontline asset management operations.
Role type
Senior Applied Machine Learning Developer (Architecture & Leadership)
Builds
Production ML systems, LLM reasoning workflows, and agentic architectures for industrial asset intelligence.
Domain
Industrial IoT, Predictive Maintenance, Generative AI
Deliverable
production ML models
Required skills
Machine Learning architecture, Python, PyTorch, TensorFlow, LLMs, time-series modeling, anomaly detection, MLOps, system scalability, team mentorship
Preferred skills
OCR for structured data extraction, reinforcement learning, agentic architectures, 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 on best practices; Design data and feedback loops for model retraining; Optimize model performance via quantization and distillation; Ensure production standards for latency, reliability, and security.
Seniority
Senior, hands-on IC with leadership responsibilities