<p><b>What role you will play in team:</b> You will design, develop, and deploy machine learning models to enhance our IT service management platform.</p><p><b>What you will do:</b> Collaborate with IT operations teams to identify areas where machine learning can improve efficiency and reduce costs.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for IT operations tasks such as predictive maintenance and anomaly detection.</li><li>Work with large datasets of IT infrastructure logs and metrics.</li><li>Design and build scalable and reliable machine learning pipelines.</li><li>Collaborate with IT operations teams to integrate models into production systems.</li><li>Monitor model performance and make necessary adjustments.</li><li>Stay abreast of the latest advancements in machine learning.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or 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>Proficiency in Python and relevant machine learning libraries (TensorFlow, PyTorch).</li><li>Experience with cloud platforms (AWS, Azure, GCP).</li><li>Strong problem-solving and communication skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>A collaborative and supportive work environment.</li><li>Hybrid work model available.</li></ul></p><p><b>A Day in the Life:</b> A typical day might involve building and training machine learning models, testing and deploying them into our IT systems, or collaborating with other engineers and IT operations staff.</p>