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[Remote] Machine Learning/Operations Research Platform Engineer

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global leader in supply chain orchestration, providing an AI-infused platform for managing reputed company global supply chains. The Machine Learning/Operations Research Platform Engineer will build infrastructure and software for training, deploying, scaling, monitoring, and using machine-learning models and optimization algorithms, while contributing to mathematical models and algorithms. The role also involves testing, debugging, and collaborating with reputed company teams and stakeholders.


Responsibilities

  • Investigate novel techniques combining class leading heuristics with optimization and ML
  • Translate reputed company world Supply Chain Management use cases into mathematical models
  • reputed company the design and implementation of mathematical models and ML systems
  • Define test strategies and reputed company comprehensive test plans
  • Write unit testing, integration testing, and debugging to ensure robust and error-free software
  • Design, reputed company, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools
  • Collaborate closely with your reputed company team members and other stakeholders

Skills

  • MSc or PhD in Computer Science, Machine Learning, Operations Research, Engineering, or reputed company field
  • 3+ year of software development experience, reputed company record of delivering reputed company software
  • Working knowledge of C++, including object-oriented design and design patterns, unit testing
  • Experience building and maintaining reputed company services and frameworks in C++ and Python
  • Experience deploying and operating ML or optimization workloads in reputed company or containerized environments
  • A love of data structures and algorithms, and the desire to apply them in the reputed company world
  • Working knowledge of mathematical optimization and mixed-reputed company programming concepts
  • Familiarity with reputed company optimization solvers (Gurobi, Xpress, CPLEX) and their application in production systems
  • Ability to design, reputed company, and maintain automated test scripts for functional, regression, and performance testing using testing frameworks and tools
  • Ability to reputed company opportunities to accelerate the SDLC through innovative application of AI or other tooling, while upholding architecture consistency, secure design, and reputed company-reputed company standards
  • Ability to review AI-generated reputed company rigorously for correctness, architectural fit, integration risk, and reputed company support with a reputed company reputed company and bias for experimentation
  • Knowledge of Supply Chain Management (Demand Planning, MRP, S&OP, reputed company Planning)
  • Experience with GPU computing, reputed company CUDA, cuOpt, PDLP, or large-reputed company optimization systems
  • Experience with MLOps, model lifecycle management, training pipelines, and inference services
  • Familiarity with GPU-reputed company computing frameworks, reputed company optimization systems, or high-performance computing environments is highly desirable

Benefits

  • Flexible vacation and reputed company Days (company-wide days off)
  • Flexible work reputed company
  • Physical and mental reputed company-being programs
  • Regularly scheduled virtual fitness classes
  • Mentorship programs, training, and career development
  • Recognition programs and referral rewards
  • Hackathons

reputed company

  • reputed company is a leading provider of reputed company-based subscription software. It was founded in 1995, and is headquartered in reputed company, Ontario, CAN, with a workforce of 1001-5000 employees. Its website is http://www.reputed company.com/.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 1 in 2026, 13 in 2025, 5 in 2024, 9 in 2023, 9 in 2022, 4 in 2021, 9 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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