AI & Optimization Engineer

Job summary

This role involves working at the intersection of artificial intelligence and optimization within large-scale infrastructure operations. The position focuses on transforming complex operational data into intelligent systems that enhance automation, predictive insights, and efficiency in high-performance environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Applied Mathematics, Engineering, Statistics, or a related technical field.
• Minimum of 3 years of experience in AI/ML engineering, applied optimization, data science, or similar analytical roles.

Responsibilities

• Define and implement AI and optimization strategies to enhance operational efficiency and business performance.
• Design and maintain scalable data models and telemetry structures for AI and machine learning projects.
• Develop, deploy, and optimize machine learning models for tasks such as anomaly detection and predictive maintenance.
• Collaborate with engineering teams to integrate AI capabilities into existing systems and workflows.
• Monitor and improve model performance and reliability in live settings.
• Document architectures and AI workflows while fostering a data-driven culture.
• Stay updated on trends in AI, optimization, and automation technologies.

Skills

• Strong expertise in Python and machine learning frameworks like PyTorch, TensorFlow, or Scikit-Learn.
• Proficiency in JavaScript or TypeScript in Node.js environments.
• Experience with large-scale, time-series data architectures and pipelines.
• Solid understanding of optimization techniques and predictive modeling.
• Familiarity with Docker and containerized deployment environments.
• Strong analytical and problem-solving skills, with effective communication abilities in English.

Education

• Bachelor’s or Master’s degree in a relevant technical field.

Tools

• Python, PyTorch, TensorFlow, Scikit-Learn, JavaScript, Node.js, Docker.