<p><strong>What role you will play in team:</strong> Develop and implement machine learning models to improve supply chain efficiency.</p><p><strong>What you will do:</strong> Work with large datasets related to supply chain operations.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for supply chain optimization.</li><li>Design and implement data pipelines for processing supply chain data.</li><li>Evaluate model performance and suggest improvements.</li><li>Collaborate with cross-functional teams to deploy models in production.</li><li>Stay current on the latest advancements in machine learning and related fields.</li><li>Document and present findings to stakeholders.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in computer science, data science, or a related field.</li><li>2-4 years of experience in machine learning engineering.</li><li>Strong programming skills in Python or Java.</li><li>Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).</li><li>Experience with cloud computing platforms (e.g., AWS, Azure, GCP).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for professional growth and development.</li><li>Work in a collaborative and supportive team environment.</li><li>Chance to work on impactful projects.</li></ul></p><p><strong>A Day in the Life:</strong>  A day includes developing and testing algorithms, collaborating with supply chain experts, optimizing models, and improving overall efficiency.</p>