Senior Network AI/ML Engineer

Job summary

This role focuses on leveraging AI techniques to enhance large-scale optimization processes within a logistics context. The position involves evaluating modern AI methodologies, conducting experiments, and providing evidence-based recommendations to improve decision-making.

Qualifications

• Strong expertise in AI/ML, including deep learning, reinforcement learning, and probabilistic modeling.
• Solid background in operations research, particularly in optimization and algorithm design.
• Proficient in software engineering, especially with Python and/or C++, with experience in high-performance computing being advantageous.
• Ability to comprehend complex models and system architectures quickly.
• Strong analytical skills and a scientific approach to experimentation.
• Self-motivated and comfortable working in ambiguous environments.

Responsibilities

• Investigate and prototype AI/ML techniques to enhance optimization processes.
• Understand existing optimization workflows and identify bottlenecks.
• Design experiments to evaluate the performance and scalability of AI enhancements.
• Build prototypes to test hypotheses efficiently.
• Communicate findings to both technical and non-technical stakeholders.
• Collaborate with engineering and data teams for reliable data usage.
• Document results and insights in a clear manner.

Skills

• Deep understanding of AI/ML and operations research.
• Strong software engineering capabilities.
• Excellent communication and collaboration skills.

Education

• Relevant degree in Computer Science, Engineering, Mathematics, or a related field is typically expected.

Tools

• Familiarity with AI/ML frameworks and optimization tools is beneficial.