<p><strong>What role you will play in team:</strong> You’ll contribute to our team building and deploying machine learning models to optimize logistics and delivery routes.</p><p><strong>What you will do:</strong>  You will be responsible for developing and implementing algorithms for route optimization, delivery prediction and fraud detection.</p><p><strong>Key responsibility:</strong><ul><li>Design, develop, and deploy machine learning models for logistics optimization.</li><li>Develop and maintain data pipelines for model training and deployment.</li><li>Work with large datasets and perform feature engineering.</li><li>Evaluate model performance and iterate on model improvements.</li><li>Collaborate with engineers and product managers.</li><li>Stay up-to-date on the latest advances in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Computer Science, or related field.</li><li>2-4 years of experience in machine learning engineering.</li><li>Proficiency in Python or Java.</li><li>Experience with cloud platforms (AWS, Azure, GCP).</li><li>Strong understanding of machine learning algorithms and techniques.</li><li>Experience with version control systems (Git).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth.</li><li>A dynamic and fast-paced work environment.</li><li>Impactful work in a global company.</li></ul></p><p><strong>A Day in the Life:</strong> You’ll focus on building and improving machine learning models to enhance our logistics operations and delivery efficiency.</p>