Machine Learning Scientist

Description KEY ACCOUNTABILITIES ● Build ML solutions for decision-making problems: planning, sequencing, routing, allocation, and resource utilization. ● Prototype fast using agentic coding tools (e.g., Claude Code-style workflows): generate scaffolds, refactor, write tests, iterate on experiments—while maintaining strong engineering discipline. ● Develop and evaluate models in areas like: ○ Optimization & solvers: MILP/CP-SAT, heuristics/metaheuristics, constraint programming, search methods …