Senior AI/ML Engineer (Logistics, Remote)

Job summary

This role focuses on leveraging AI techniques to enhance large-scale optimization within logistics. The position involves evaluating modern AI methods and conducting experiments to improve decision-making processes in supply chain operations.

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++, and experience in high-performance computing is advantageous.

Responsibilities

• Investigate and prototype AI/ML techniques to improve large-scale optimization.
• Analyze existing optimization workflows to identify bottlenecks and constraints.
• Design and conduct controlled experiments to evaluate AI-based enhancements.
• Develop targeted prototypes to test hypotheses efficiently.
• Communicate findings to both technical and non-technical stakeholders.
• Collaborate with engineering and data teams to ensure reliable data usage.
• Document results and insights in a clear and structured manner.

Skills

• Strong analytical thinking and experimental rigor.
• Ability to navigate ambiguous and exploratory environments.
• Self-directed and capable of understanding complex models and systems.

Education

• Relevant degree in a field related to AI, machine learning, operations research, or software engineering.

Tools

• Proficiency in programming languages such as Python and C++, along with familiarity with AI/ML frameworks and tools.