AI & Optimization Engineer

About the role

This position offers the chance to work at the intersection of artificial intelligence, optimization, and large‑scale infrastructure operations in a fully remote, globally distributed environment. You will transform complex operational data into intelligent systems that drive automation, predictive insights, and efficiency improvements.

Key responsibilities

• Define and execute AI and optimization strategies to improve operational efficiency and business performance.
• Design and maintain scalable data models, schemas, and telemetry structures for AI initiatives.
• Develop, deploy, and optimize machine‑learning models for anomaly detection, predictive maintenance, automation, and performance forecasting.
• Integrate AI capabilities into existing systems, APIs, and production workflows in collaboration with engineering teams.
• Monitor and improve model performance, reliability, explainability, and scalability in live environments.
• Document architectures, modelling assumptions, and AI workflows while promoting a data‑driven culture.

Required profile

• Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Engineering, Statistics, or a related technical field.
• At least 3 years of experience in AI/ML engineering, applied optimization, or data‑science roles.
• Strong analytical mindset with a focus on industrial or telemetry‑based AI systems.

Required skills

• Python programming.
• Machine‑learning frameworks: PyTorch, TensorFlow, Scikit‑Learn.
• JavaScript or TypeScript within Node.js environments.
• Design and management of large‑scale, time‑series data architectures and pipelines.
• Optimization techniques, predictive modelling, and anomaly detection.
• Docker and containerised deployment.
• Experience deploying, monitoring, and maintaining production AI systems, including handling model drift.