Optimization Specialist for Advanced Analytical Solutions
2 weeks ago
We are seeking a talented Optimization Specialist to join our team at Techtinium. As a key member of our Operations Research group, you will play a pivotal role 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 (linear programming, mixed-integer linear programming, combinatorial optimization, scheduling, etc.) and will be adept in applying innovative algorithms to achieve optimal solutions.
Our Current Technical Environment:
- Language: Python
- Frameworks/Others: COIN-OR, PyTorch, NumPy, SciPy, Pyomo, and Django
- Application Architecture: Scalable, Resilient, Reactive, Event-Driven, Secure Microservices Architecture
- Cloud: AWS
About Your Responsibilities:
- 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 (e.g., COIN-OR, SCIP) and commercial solvers (e.g., Gurobi, CPLEX, PuLP or AMPL) for specific problems, customizing and extending as necessary.
- Machine Learning Model Development: Design, develop, and deploy machine learning models to analyze large datasets, generate insights, and make predictions that support data-driven decision-making, specifically related to enhancing the performance of optimization algorithms.
- Perform data analysis and statistical validation of models and solutions, ensuring accuracy and efficacy.
- Keep abreast of the latest developments in optimization and computational intelligence, incorporating these advancements into problem-solving strategies.
- Promote software quality by constructively pointing out opportunities to reduce complexity and write cleaner code and more effective tests.
- Investigate root causes of issues and implement fixes rather than their symptoms.
- Design services to be self-healing and offer self-service capabilities from the ground up to minimize manual intervention.
About You:
- 3 years of experience in Operations Research and Python programming
- Bachelor's in Operations Research, Applied Mathematics, Statistics, Computer Science, Data Science, or a related field.
- Proven experience building optimization models from scratch
- Preferably some constraint programming knowledge and understanding standard scheduling/job shop models and improving upon them
- Demonstrable experience with both non-commercial and commercial optimization solvers, with a keen ability to tailor solutions to complex problems.
- Strong statistical analysis skills, with proficiency in tools such as Python.
- Excellent problem-solving abilities, creativity in approach, and a track record of innovative solutions in optimization.
- Effective communication skills for presenting complex concepts to technical and non-technical audiences.
Salary Range:$120,000 - $160,000 per annum, based on location and experience.
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