<p><strong>What role you will play in team:</strong> You will join a team dedicated to developing and deploying machine learning models to optimize Shell's energy operations.</p><p><strong>What you will do:</strong> You will apply your machine learning expertise to enhance efficiency, reduce costs, and improve sustainability across our operations.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models for various applications in the energy sector.</li><li>Work with large, complex datasets, performing feature engineering and selection.</li><li>Evaluate model performance and identify areas for improvement.</li><li>Collaborate with engineers and domain experts to integrate models into operational systems.</li><li>Contribute to the development of new machine learning infrastructure and tools.</li><li>Stay abreast of the latest advancements in machine learning and their applications to the energy industry.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD in computer science, engineering, or a related field.</li><li>3-5 years of experience in machine learning engineering.</li><li>Strong programming skills in Python or Java.</li><li>Experience with machine learning frameworks (TensorFlow, PyTorch).</li><li>Knowledge of cloud computing platforms (AWS, Azure, GCP).</li><li>Excellent problem-solving and communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Collaborative and innovative work environment.</li><li>Comprehensive healthcare coverage.</li><li>Retirement plan and other employee benefits.</li><li>Opportunities to contribute to a sustainable energy future.</li></ul></p><p><strong>A Day in the Life:</strong>  A typical day will involve working on complex machine learning projects, collaborating with engineers, and applying your expertise to real-world challenges in the energy industry.</p>