Senior Applied Machine Learning Developer (AI)

TL;DR

Senior Applied Machine Learning Developer (AI): Developing predictive maintenance, anomaly detection, and LLM-powered intelligence systems for industrial asset management with an accent on ML architecture and IoT data systems. Focus on scaling production ML systems, designing agentic workflows, and optimizing model performance for real-world industrial telemetry.

Location: Montreal, Toronto, Raleigh, San Francisco, or Miami

Company

hirify.global is the world’s leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments, providing IoT-enabled cloud solutions for maintenance and operations.

What you will do

• Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across products.
• Architect end-to-end ML systems from data ingestion and feature development to deployment and monitoring.
• Mentor a team of ML and data developers in experimentation and model lifecycle management.
• Partner with product and software leadership to align the AI roadmap with customer needs and business goals.
• Design data and feedback loops that connect customer telemetry and operator feedback to model retraining.
• Build reasoning systems and agentic workflows using LLM frameworks like LangChain, LlamaIndex, and Hugging Face.

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).
• Proven experience deploying production ML systems at scale.
• Strong background in LLMs, time-series modeling, and anomaly detection for real-world data.
• Knowledge of MLOps tooling such as Docker, Kubernetes, Weights & Biases, MLflow, and SageMaker.
• Advanced degree (MS/PhD) in Computer Science, Machine Learning, or a related field preferred.

Nice to have

• Experience with OCR for extracting structured data from documents.
• Familiarity with Industrial IoT systems, including sensors, telemetry, and edge computing.
• Experience applying reinforcement learning or agentic architectures for decision-making.
• Contributions to open-source ML frameworks or research in reliability and digital twins.

Culture & Benefits

• Competitive salary and meaningful equity opportunities.
• Comprehensive healthcare, dental, and vision coverage.
• 401(k) and RRSP enrollment programs.
• Flexible "take what you need" PTO policy.
• Meritocratic environment with a culture of Smart, Humble Optimists.