Operations Research Engineer

The Company

Modular Mining Systems is the global leader in mine management technology and a wholly owned subsidiary of Komatsu Ltd. Our innovative technology powers mine operations in every corner of the globe. The products we cultivate, the solutions we engineer and the service we deliver set us apart in the Mining Technology industry. We are more than a company, we’re a community of passionate, creative professionals striving toward a shared vision: to revolutionize the way the mining industry operates. With a presence stretching from Johannesburg to Vancouver, Sydney to Lima, you are part of a global brand that supports creativity, fosters innovation, and encourages you to think big, share ideas, and be yourself.

Job Purpose

The Applied Sciences department designs and develops real-time optimization engines for automated and manned systems across the mining value stream with special focus on load & haul operation. In addition, it researches and develops predictive models based on data analytics on the cloud and on the edge.

The Applied Sciences department is looking for an Operations Research Engineer to design and develop flexible and scalable solutions for some of the most complex challenges in large-scale computing by utilizing skills in optimization models, algorithm design, data structures, and object-oriented programming.

Travel Requirements

Up to 15%.

Job Duties and Responsibilities

• Design and develop optimization models and algorithms with and without commercial solvers following established software development practices and processes.
• Develop and implement solutions to optimize and automate business decisions using large data sets and algorithms.
• Create low-level design of modules of a software Application through proper documentation and diagrams.
• Develop proof of concepts for technical evaluation and early customer feedback.
• Develop software solutions by studying requirements, clarifying customer/user needs, analyzing data and processes, and following established software development practices and processes.
• Understand applications domain and pro-actively interact with product teams to improve functional and nonfunctional aspects of platform components.
• Update and share knowledge by reading professional publications. And studying state-of-the-art development tools, programming techniques, and computing technology.

Required Skills

education:

• PhD. in Operations Research, Industrial Engineering, Systems Engineering, Computer Science or related

-or-

• M.Sc. in Operations Research, Industrial Engineering, Systems Engineering, Computer Science or related with 2+ years’ experience.

Skills:

• Experience in designing, implementing, and testing analytic and/or algorithmic solutions to business or operational problems.
• Background in design and development discrete, nonlinear, or stochastic mathematical optimization models and combinatorial optimization algorithms.
• Experience in decomposition approaches solving large-scale optimization problems.
• Experience with optimization modeling languages (e.g., Pyomo, GAMS) and solvers (e.g., Gurobi, CPLEX)
• Expert in at least one major object-oriented programming language (C/C++, C#, Java, Kotlin, or Python)
• Understanding of data structures, algorithm design, problem solving, and complexity analysis
• Understanding of database theory and experience in at least one relational DBMS
• Strong computer science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis.
• Experience in requirement/Design/Code Review, Parallel and Asynchronous programming, and software engineering best-practices, patterns, and anti-patterns
• Hands-on experience with using Git (handling branching and merging) and DevOps pipelines.
• Core programming knowledge on multi-threading, garbage collector, advanced debugging and memory profiling.

Desired Skills

• Knowledge in statistics and data science models (K-means, random Forrest, neural nets etc.).
• Familiar with data modelling, frameworks, and tools such as Databricks/Spark, Postgresql, RabbitMQ, Kafka, Kubernetes, AMQP Messaging tools, gRPC, REST, Serialization Protocols, Docker, RDBMS.
• Experience with databases modeling and ORM frameworks.
• Experience with Web Technologies such as HTML, CSS and Javascript.
• Experience developing systems using cloud technologies.
• Outstanding written and interpersonal skills, ability to effectively interact with local and offshore development teams.
• Experience with Agile methodologies.
• Experience developing mining systems.