AI Associate Optimization

JOB TITLE: AI ASSOCIATE OPTIMIZATION

Location:

ABOUT NEWCOLD

NewCold is a service provider in cold chain logistics with a focus on development and operation of large, highly automated cold stores. NewCold strives to be crucial in the cold chain of leading food companies, by offering advanced logistic services worldwide. NewCold is one of the fastest growing companies (over 2,000 employees) in the cold chain logistics and they are expanding teams to support this growth. They use the latest technology that empowers people, to handle food responsibly and guarantee food safety in a sustainable way. They challenge the industry, believe in long-term partnerships, and deliver solid investment opportunities that enable next generation logistic solutions. NewCold has leading market in-house expertise in designing, engineering, developing and operating state-of-the-art automated cold stores: a result of successful development and operation of over 15 automated warehouses across three continents. With the prospect of many new construction projects around the world in the very near future, this vacancy offers an interesting opportunity to join an internationally growing and ambitious organization.

POSITION SUMMARY

NewCold is seeking an AI Associate Optimization to enhance the performance and efficiency of our AI-powered solutions within our highly automated cold chain logistics network. This role focuses on optimizing machine learning models deployed in warehouse operations, ensuring low latency, high throughput, and accurate predictions for improved decision-making. You will be instrumental in bridging the gap between data science and real-world deployment, contributing to the continuous improvement of our automated systems. This position requires a strong understanding of model serving, containerization, and edge AI technologies.

YOUR ROLE

As an AI Associate Optimization, you will play a critical role in ensuring the reliability, scalability, and performance of AI models powering NewCold’s automated warehouse processes. You will be responsible for optimizing models for deployment across diverse infrastructure, including cloud and edge environments, directly impacting operational efficiency, cost reduction, and the overall effectiveness of our logistics solutions. Your work will contribute to maintaining NewCold’s competitive edge through cutting-edge AI implementation.

KEY RESPONSIBILITIES

• Implement model optimization techniques such as quantization and knowledge distillation to reduce model size and improve inference speed for deployment on edge devices and cloud infrastructure.
• Develop and maintain CI/CD pipelines for automated model deployment and updates, ensuring seamless integration with existing systems.
• Benchmark and profile model performance (latency, throughput, memory usage) to identify bottlenecks and areas for improvement.
• Deploy and manage machine learning models using model serving frameworks like TensorFlow Serving, TorchServe, ONNX Runtime, or Triton Inference Server.
• Containerize AI models and applications using Docker and Podman for consistent and reproducible deployments.
• Collaborate with data scientists and software engineers to troubleshoot model performance issues and implement solutions.
• Monitor model performance in production and proactively address any degradation in accuracy or efficiency.
• Develop and maintain APIs/SDKs (REST, gRPC, FastAPI) for accessing and integrating AI models into various applications.
• Work with edge devices (NVIDIA Jetson, Coral TPU, ARM-based boards) and edge frameworks (TensorRT, OpenVINO, TFLite, TVM) to optimize models for low-power, real-time inference.

WHAT WE ARE LOOKING FOR

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning or a related field
• 1-3 years of experience in a role focused on machine learning model optimization and deployment.
• Proficiency in Python and C++ programming languages.
• Hands-on experience with model serving frameworks (TensorFlow Serving, TorchServe, ONNX Runtime, Triton Inference Server).
• Experience with containerization technologies (Docker, Podman) and orchestration tools (Kubernetes, K3s, Edge orchestrators).
• Knowledge of model optimization techniques such as quantization and knowledge distillation.
• Familiarity with benchmarking and profiling tools for evaluating model performance.
• Strong analytical and problem-solving skills with a data-driven approach.
• Experience with CI/CD pipelines for ML deployment is highly desirable.
• Knowledge of edge devices (NVIDIAJetson, Coral TPU, ARM-based boards) and edge AI frameworks (TensorRT, OpenVINO, TFLite, TVM) is a significant plus.

WHY JOIN US

• Opportunity to work on cutting-edge AI applications in a rapidly growing and innovative cold chain logistics company.
• Exposure to a wide range of AI technologies and challenges within a highly automated warehouse environment.
• Career growth potential within a dynamic and international organization.
• Collaborative and supportive team environment with opportunities for learning and development.
• Contribute to the development of next-generation logistics solutions that are shaping the future of the food supply chain.