Logistics Machine Learning Engineer We are seeking a talented Machine Learning (ML) expert to join our Logistics team as a key contributor in designing, implementing, and maintaining machine learning models and algorithms that drive business decisions. This role is ideal for individuals with a passion for optimizing algorithms and models for high performance, strong communication and collaboration skills, and the ability to work effectively within a diverse, cross-functional team. Key Responsibilities: - Design and develop machine learning models to enhance product impact and drive key business decisions. - Maintain and improve existing machine learning models to ensure optimal performance. - Collaborate with developers to deploy machine learning models to end-users and run experiments. Requirements: - Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or a related field focusing on machine learning. - At least 2 years of experience in engineering and ML methods. - Experience with SQL and NoSQL databases. - Strong proficiency in Python, with experience in ML libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or similar technologies. What We Offer: - Hybrid Work: Flexible working hours and arrangements. - Additional days off to vacations. - Half day off on your birthday. - Access to Educational Budget. - Workstation Paid BYOD or company-provided machine. - Health insurance: Get the attention and care that you deserve.