Machine Learning Engineer (Industrial IoT)

TL;DR

Machine Learning Engineer (Industrial IoT): Deploying and maintaining ML models for industrial equipment diagnostics with an accent on real-time sensor data and production-grade ML Ops. Focus on designing inference services, optimizing time-series data pipelines, and ensuring system reliability for industrial monitoring.

Location: Remote (São Paulo, Brazil)

Company

hirify.global is transforming the industrial world by fusing cutting-edge hardware with innovative software into one powerful platform to empower frontline maintenance workers.

What you will do

• Deploy and maintain ML models developed by the data science team.
• Design and implement APIs and real-time inference services.
• Work with large-scale time-series datasets from vibration and sensor systems.
• Improve the performance and reliability of model serving pipelines.
• Monitor system health and implement logging, alerting, and fallback mechanisms.
• Contribute to architectural decisions and collaborate across teams.

Requirements

• 2–4+ years of experience in software or machine learning engineering.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Solid background in math, statistics, and machine learning concepts.
• Strong Python skills and experience with ML libraries like scikit-learn or PyTorch.
• Experience deploying models in production environments.
• Familiarity with event-driven platforms and message queues (e.g., Kafka, Redis Streams).

Nice to have

• Experience with containerization (Docker) and cloud deployment.
• Exposure to real-time or low-latency systems.
• Interest in optimization of inference latency and resource usage.

Culture & Benefits

• Competitive salary and stock options.
• 30 days of paid annual leave.
• Education and courses stipend.
• Company-sponsored trip anywhere in the world every 4 years.
• Health and dental insurance with national coverage.
• Meal allowance (R$1.035/month) and sports incentives (R$300/month).