<p><strong>What role you will play in team:</strong> Develop and implement machine learning models to improve efficiency and decision-making within the organization.</p><p><strong>What you will do:</strong> Design, build, and deploy machine learning models that address specific business challenges.</p><p><strong>Key responsibility:</strong><ul><li>Design, develop, and deploy machine learning models using various algorithms.</li><li>Perform data preprocessing, feature engineering, and model selection.</li><li>Evaluate model performance and optimize for accuracy and efficiency.</li><li>Collaborate with other engineers and stakeholders to integrate models into production systems.</li><li>Document code and processes clearly and concisely.</li><li>Continuously learn and stay updated on the latest advancements in machine learning.</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>Proficiency in Python or Java.</li><li>Experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.</li><li>Strong understanding of various machine learning algorithms.</li><li>Experience with cloud computing platforms (AWS, Azure, GCP).</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for professional growth and development.</li><li>Collaborative and supportive work environment.</li><li>Health insurance and other employee benefits.</li></ul></p><p><strong>A Day in the Life:</strong>  A typical day would involve model development, code implementation, testing, collaboration, and continuous learning in the field of machine learning.</p>