<p><b>What role you will play in team:</b> Collaborate with a team of data scientists and engineers to develop and deploy machine learning models for various applications within Intel.  Contribute to improving data analysis processes and model performance.</p><p><b>What you will do:</b> Collect, clean, and preprocess large datasets. Develop and evaluate machine learning models.  Deploy models into production environments.  Communicate findings to both technical and non-technical audiences.</p><p><b>Key responsibility:</b><ul><li>Develop and implement machine learning algorithms.</li><li>Perform data analysis and visualization.</li><li>Build and deploy machine learning models.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Communicate results to stakeholders.</li><li>Collaborate with engineers to integrate models into applications.</li><li>Stay up-to-date on the latest advancements in machine learning.</li><li>Contribute to the development of new data analysis techniques.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in Computer Science, Statistics, or related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication skills.</li><li>Experience with big data technologies is a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development.</li><li>Collaborative and supportive work environment.</li><li>Health insurance.</li><li>Paid time off.</li><li>Retirement plan.</li></ul></p><p><b>A Day in the Life:</b>  Begin with data exploration, followed by model building, testing, and deployment.  Collaborate with colleagues on projects, and communicate results in the afternoon.</p>