Mid Machine Learning Engineer

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July 29

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TRACTIAN

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Enterprise • Industrial • Energy

TRACTIAN is a company specializing in Asset Performance Management, providing industry-leading solutions to ensure zero downtime for manufacturing plants. With products like Smart Trac Condition Monitoring & Auto Diagnosis and TracOS™ Maintenance Management Software, TRACTIAN enables plant managers to predict failures, avoid downtime, and manage assets efficiently. Their solutions also focus on energy efficiency, transforming energy consumption data into profit. TRACTIAN collaborates with industries such as automotive, mining, oil and gas, and pharmaceuticals, offering advanced insights and AI-powered diagnostics to enhance machine reliability and operational efficiency.

51 - 200 employees

🏢 Enterprise

⚡ Energy

📋 Description

• Deploy and maintain ML models from 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 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) • Comfort working with streaming or time-series data