Optimization Solutions Developer

3 days ago


Chennai, Tamil Nadu, India Techtinium Full time
Job Description:
We are seeking an Optimization Specialist focused on developing and deploying advanced analytical solutions leveraging mathematical optimization techniques. This role plays a pivotal part in shaping the future of manufacturing operations by designing, developing, and deploying innovative scheduling solutions that optimize complex business processes.

The ideal candidate will excel in formulating and solving various optimization problems (LP, MILP, combinatorial optimization, scheduling, etc.) and apply innovative algorithms to achieve optimal solutions.

We operate in a technical environment using Python as our primary language. Our current tools and frameworks include COIN-OR, PyTorch, NumPy, SciPy, Pyomo, and Django. Our application architecture is scalable, resilient, reactive, event-driven, secure, and microservices-based. We also utilize AWS as our cloud provider.

In this role, you will:
  • Design, develop, and implement advanced mathematical optimization models and solvers to address complex business challenges across various domains, such as scheduling, routing, resource allocation, and inventory management.
  • Identify and model optimization problems across different kinds of Manufacturing businesses, focusing on LP, MILP, combinatorial optimization, and scheduling.
  • Design and implement robust optimization algorithms, including both classical methods and advanced heuristic and metaheuristic techniques.
  • Evaluate and select appropriate non-commercial and commercial solvers for specific problems, customizing and extending them as necessary.
  • Develop machine learning models to analyze large datasets, generate insights, and make predictions that support data-driven decision-making.
  • Perform data analysis and statistical validation of models and solutions, ensuring accuracy and efficacy.

About You:
We're looking for someone with 3 years of experience in Operations Research and Python programming. A Bachelors degree in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, or a related field is required. Experience building optimization models from scratch is a must-have. Preference is given to those with some constraint programming knowledge and understanding of standard scheduling/job shop models. Additionally, we're seeking someone with demonstrable experience with both non-commercial and commercial optimization solvers and strong statistical analysis skills.
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