Job Description We are seeking a talented Machine Learning (ML) engineer to join our Logistics team. - Design, implement, and maintain machine learning models and algorithms that drive key business decisions. - Collaborate with cross-functional teams to develop innovative solutions that leverage machine learning techniques. The ideal candidate should have a strong background in mathematics, statistics, and computer science, along with extensive experience in machine learning frameworks and tools. Responsibilities: - Own the entire ML lifecycle while ensuring high adherence to industry's best practices. - Write specifications, documentation, and user guides for developed applications. - Deploy machine learning models to end-users and run experiments. - Mentor developers and contribute to the growth of the team's overall expertise in machine learning and personalization. Requirements: - BSc or MSc in Computer Science, Statistics, Engineering, or a related science/tech field focusing on machine learning. - 2+ years of experience in engineering and ML methods. - Experience with both SQL and NoSQL databases. - Strong proficiency in Python, with experience in ML libraries and frameworks such as TensorFlow, PyTorch, scikit-learn, or similar technologies. - Proven experience with small/medium-scale systems and the ability to adapt to a fast-paced, rapidly evolving environment. What We Offer - Hybrid Work: Work together as a team. - Flexible hours: We trust your work and skills. - 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.