<p><strong>What role you will play in team:</strong> You’ll be a core member of our team, building and deploying machine learning models for our product. </p><p><strong>What you will do:</strong> You will work on the entire machine learning pipeline, from data collection and preprocessing to model deployment and monitoring. </p><p><strong>Key responsibility:</strong><ul><li>Design, develop, and deploy machine learning models.</li><li>Work with large datasets and perform data preprocessing and feature engineering.</li><li>Evaluate model performance and improve accuracy.</li><li>Collaborate with other engineers and data scientists.</li><li>Stay up-to-date with the latest advances in machine learning.</li><li>Document your work and share your knowledge with the team.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in computer science, statistics, or a related field.</li><li>2+ years of experience in machine learning engineering.</li><li>Proficiency in Python and relevant libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Experience with cloud platforms (AWS, GCP, Azure).</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and teamwork skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional development and growth.</li><li>Flexible work arrangements.</li><li>A collaborative and supportive work environment.</li></ul></p><p><strong>A Day in the Life:</strong>  A day might involve working on model training and optimization, developing new features, collaborating with other engineers, and participating in code reviews.</p>