Transform complex planning and supply chain challenges into optimization models, leveraging strong foundations in operations research and advanced mathematical algorithms.
Work with real-world business data to formulate optimization problems in areas such as supply chain, inventory, production planning, and pricing.
Design, implement, test, and refine linear, integer, and mixed-integer programming models, along with heuristic or meta-heuristic approaches where needed.
Prototype and compare alternative formulations and solution strategies, balancing optimality, robustness, and runtime performance.
Use commercial and open-source solvers (e.g., Gurobi, CPLEX, COIN-OR) effectively, including model diagnostics, tuning, and performance analysis.
Collaborate with solution delivery and data engineering teams to integrate optimization models into end‑to‑end decision workflows.
Engage with customers and internal stakeholders to understand requirements, explain model behavior and trade-offs, and iterate on designs.
Bachelor’s or Master’s degree in Operations Research, Applied Mathematics, Industrial Engineering, Computer Science, or a related quantitative field.
1-3 of experience in optimization / OR, including internships, academic projects, or industry experience; outstanding fresh graduates are encouraged to apply.
Strong foundations in linear algebra, probability, optimization theory, and algorithms, with clear intuition for LP/MIP modeling.
Hands-on experience formulating and solving optimization models using at least one solver (Gurobi, CPLEX, COIN-OR, etc.) and one programming language (preferably Python).
Demonstrated passion for OR: coursework, theses, competitions, or open-source contributions.
Ability to reason from first principles, question assumptions, and propose alternative formulations when the first approach does not work.
Comfortable working in a fast-paced environment, taking ownership, and learning new problem domains quickly.
Exposure to supply chain, logistics, or pricing optimization problems.
Experience with large-scale data handling (SQL, Spark, or similar) to prepare input data for optimization runs.
Familiarity with building small services or scripts to operationalize optimization runs (e.g., scheduling, APIs, or batch jobs).
Flexible Work Hours
Flexible working environment to ensure a healthy work-life balance
Free Meals & Snacks
Access to a fully-stocked kitchen with a selection of snacks and beverages
Health Insurance
Comprehensive medical, Group Medical Insurance, Term Insurance, Accidental Insurance
Learning Budget
Unlimited access to online professional courses for both professional and personal development
Paid Time Off
Paid time off, Maternity leave
Aera Technology specializes in Decision Intelligence, providing a platform that digitizes, augments, and automates decision-making processes for enterprises. By leveraging AI and machine learning, Aera empowers organizations to enhance their operational efficiency and sustainability, ultimately driving significant revenue gains and cost savings.
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