AI & Optimization Engineer (Remote, Denmark)

Job summary

This role focuses on leveraging artificial intelligence and optimization techniques to enhance operational efficiency within a remote, globally distributed environment. The engineer will transform complex operational data into intelligent systems, driving automation and predictive insights across high-performance settings.

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, or data science roles.

Responsibilities

• Define and implement AI and optimization strategies to boost operational efficiency and business performance.
• Design and maintain scalable data models and telemetry structures for AI initiatives.
• Develop 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 enhance model performance and reliability in live environments.
• Translate operational challenges into data-driven solutions with cross-functional stakeholders.
• Document architectures and AI workflows while fostering a culture of innovation.
• Stay updated on trends in AI, optimization, and automation technologies.

Skills

Benefits

• Proficiency in Python and machine learning frameworks like PyTorch, TensorFlow, or Scikit-Learn.
• Knowledge of JavaScript or TypeScript in Node.js environments.
• Experience with large-scale, time-series data architectures.
• Understanding of optimization techniques and predictive modeling.
• Familiarity with Docker and containerized environments.
• Strong analytical and problem-solving skills, with the ability to work independently in remote teams.
• Excellent English communication skills for effective collaboration.
• Fully remote work setup with global collaboration.
• Opportunity to work on impactful AI and optimization projects.
• Exposure to advanced technologies in machine learning and distributed systems.
• Collaborative international team culture with career growth opportunities.
• Flexible work environment that promotes creativity and ownership.