Sr ML Engineer, Asset Intelligence & Predictive Maintenance

MaintainX; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Healthcare, dental, and vision

401(k) retirement plan

Take what you need PTO

Job summary

MaintainX, a leading mobile-first work execution platform, seeks a Senior Applied Machine Learning Developer to guide AI strategy and architecture across predictive maintenance and asset intelligence initiatives. You will mentor developers, shape ML systems, and partner with product and software teams to deliver scalable, reliable AI-driven insights across thousands of sites.

This role sits at the intersection of ML architecture, IoT data, and product impact, with a focus on

Qualifications

• 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—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.

Responsibilities

• 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.
• 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.
• Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence.
• Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security.

Skills

Python

PyTorch

TensorFlow

Cloud ML stacks

Production ML systems

LLMs

Time-series modeling

Anomaly detection

MLOps tooling

Docker

Kubernetes

Weights & Biases

MLflow

SageMaker

Education

MS/PhD in Computer Science or related field

Tools

Docker

Kubernetes

Weights & Biases

MLflow

SageMaker

Job description

MaintainX, a leading mobile-first work execution platform, seeks a Senior Applied Machine Learning Developer to guide AI strategy and architecture across predictive maintenance and asset intelligence initiatives. You will mentor developers, shape ML systems, and partner with product and software teams to deliver scalable, reliable AI-driven insights across thousands of sites.

This role sits at the intersection of ML architecture, IoT data, and product impact, with a focus on