Responsibilities
To develop classical (LP, IP, MIP problems) and/or evolutionary optimization (Genetic Algorithms, Differential Evolution and other evolutionary optimisation algorithms) models for various functions and operations.
Expertise in AIMMS, ILOG-CPLEX or other commercial solvers will be useful.
To develop system simulation models (Discrete Event Simulation, Agent based simulation) in order to redesign, debottleneck and optimize processes.
To analyse and visualise process and business data in order to build optimisation models
To develop, maintain and update computer programs related to optimization and simulations.
To analyse manufacturing, marketing and supply chain processes (most often in a project setting) and develop ideas to generate insights and improvements.
To develop customized optimization algorithms for improving yield, cost and productivity of various operations.
To develop hybrid simulation and visualization models to help in decision-making.
Education
B Tech/ BE,
M Tech/ MS in Mechanical/Metallurgical/ Electrical/ Electronics/ Computer Science/ Instrumentation/ Industrial Engineering/ Operations Research.
Experience
Experience related to optimisation (both classical and evolutionary) logic development and system simulation.
Programming and process trouble-shooting experience will be preferred.
Exposure to different optimisation tools and mathematical models will be preferred. Basic understanding of statistics will be an added advantage.
Technical Competencies
Optimisation, system simulation, programming, system engineering and flow design, Logic building, Scenario analysis
Proficient in RDBMS such as PostgresQL or MySQL
Programming languages like R /MATLAB / Python
KPIs
Identify and solve business-wide problems using a combination of Big data and Operations Research (OR) techniques
Build, validate, test, and deploy models and algorithms using proven and experimental techniques
Define hypotheses, develop and execute necessary tests, experiments, and analyses to prove or disprove them
Develop creative algorithms by employing OR techniques
Translate data speak to human speak by effectively conceptualizing analysis to team members and business stakeholders