At M-Tech Systems, our company mission is to increase yield in protein production to help feed the growing world population without compromising animal welfare or damaging the planet. We aim to create software that delivers real-time data to the entire supply chain that allows producers to get better insight into what is happening on their farms and what they can do to responsibly improve production.

M-Tech Systems is the industry-leading provider for Live Animal Protein Production Performance Management Tools. For over 30 years, M-Tech Systems has provided cutting-edge enterprise data solutions for all aspects of the live poultry operations cycle. We provide our customers with solutions in Business Intelligence, Live Production Accounting, Production Planning, and Remote Data Management—all through an integrated system. Our applications can currently be found running businesses on six continents in over 50 countries. M-Tech has built an international reputation for equipping our customers with the power to utilize comprehensive data to maximize profitability.

With nearly 300 employees globally, M-Tech Systems currently has main offices in Mexico, United States, and Brazil, with additional resources in key markets around the world. M-Tech Systems USA’s headquarters is based in Atlanta, Georgia and has approximately 90 team members in a casual, collaborative environment. Our work culture here is based on a passion for helping our clients feed the world, resulting in a flexible and rewarding atmosphere. We pride ourselves for having a working atmosphere that encourages collaboration, exceptional development tooling, training, and ongoing opportunities to work with senior and executive management.

Job Summary

We are looking for a highly motivated and innovative Full-Time or Intern, Supply Chain Planning and Optimization Engineer to join our team. This position is perfect for someone passionate about using advanced algorithms and data-driven solutions to solve complex scheduling and optimization problems within the supply chain.

As a part of our team, you will work on exciting challenges that are like Max Flow-Min Cut, Traveling Salesman Problem (TSP), Multi-Knapsack Problem, and other optimization models. Your goal will be to build and deploy independent systems that optimize processes and feed data to modify each other's solutions, creating a seamless and efficient supply chain system.

Essential Functions & Responsibilities

• Optimization Modeling: Use Python to model and solve complex optimization problems such as Multi-Knapsack with Choice Dependent Values, Multi-Agent Traveling Salesman, Max-Flow with Consumption Nodes and tying them all together to build a turnkey supply chain.
• System Development: Design, build, and implement independent systems that solve specific optimization tasks. These systems will feed their results into each other, continuously improving the overall supply chain performance.
• Data-Driven Decision Making: Work with large datasets to analyze performance, identify trends, and ensure that optimization models adapt to changing conditions in real-time.
• Collaboration: Work closely with cross-functional teams including data scientists, engineers, and supply chain experts to continuously improve the optimization algorithms and systems.
• Continuous Improvement: Research and implement the latest optimization algorithms, machine learning methods, and industry trends to keep our systems cutting-edge.
  

Qualifications, Skills, and Experience

• Programming Proficiency: Strong experience in Python programming, with a focus on optimization libraries (e.g., PuLP, ortools, SciPy).
• Mathematical & Analytical Skills: Understanding of key optimization techniques and algorithms like TSP, Knapsack, Linear Programming, or Integer Programming.
• Problem-Solving Ability: Ability to break down complex scheduling and optimization problems into manageable components and deliver effective solutions.
• Independence & Initiative: Comfortable working autonomously and taking ownership of building systems that interact and modify each other’s outputs.
• Collaboration Skills: Strong communication and teamwork abilities in multidisciplinary teams.
• Educational Background: Currently pursuing or holding a bachelor’s or master’s degree in industrial engineering, Computer Science, Operations Research, Engineering, Applied Mathematics, or related fields.

EEO Statement
Integrated into our shared values is M-Tech’s commitment to diversity and equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. M-Tech is committed to being a globally inclusive company where all people are treated fairly, recognized for their individuality, promoted based on performance, and encouraged to strive to reach their full potential. We believe in understanding and respecting differences among all people. Every individual at M-Tech has an ongoing responsibility to respect and support a globally diverse environment.

Posted On: Thursday, December 19, 2024