Artificial Intelligence Engineer [Forecasting]

Join our dynamic team of researchers, innovators, and problem-solvers at the forefront of logistics and supply chain optimization. As an AI Engineer specializing in Forecasting, you will have the opportunity to develop demand, order, and labor forecasting systems aimed at enhancing the efficiency of warehouse operations. You'll be working in a fast paced learning environment with some of the best minds from CMU, IIT and other leading institutes.

Responsibilities

• Analyze large datasets to uncover insights and trends that can inform design and selection of appropriate models.
• Design, implement, and maintain scalable, robust, and accurate forecasting models.
• Stay updated with the latest advancements in AI and machine learning to continuously improve forecasting accuracy and efficiency.
• Collaborate with software engineers to deploy machine learning models into production environments, ensuring proper integration and monitoring their performance to evaluate effectiveness in real-time.

Requirements

• Master's or higher degree in Computer Science, Statistics, Applied Math, Operations Research, Econometrics, or a related field (or equivalent practical experience).
• Strong ability to model and build time-series forecasting systems.
• Deep understanding of statistical modeling, machine learning, or data mining.
• Proficiency in programming languages such as Python, Scala, or C++.
• Familiarity with one or more machine learning or statistical modeling tools/libraries like scikit-learn, TensorFlow, PyTorch, or Keras.
• Working knowledge of databases.
• Strong communication skills and the ability to collaborate effectively within a team.
• Excellent problem-solving abilities and a passion for tackling complex logistical challenges.