<p><strong>What role you will play in team:</strong> You will be part of a team developing and implementing machine learning solutions for Shell's energy operations, focusing on optimization and efficiency improvements.</p><p><strong>What you will do:</strong> You'll design, develop, and deploy machine learning models to predict and solve complex problems in energy production and distribution.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models for energy optimization.</li><li>Work with large, complex datasets related to energy production and distribution.</li><li>Design and implement algorithms for predictive maintenance and resource allocation.</li><li>Collaborate with engineers and domain experts to translate business needs into technical solutions.</li><li>Ensure the robustness and scalability of machine learning solutions.</li><li>Stay abreast of advancements in machine learning and related fields.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in Computer Science, Engineering, or a related field.</li><li>Experience with Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).</li><li>Experience with cloud computing platforms (AWS, Azure, GCP).</li><li>Strong understanding of machine learning algorithms and techniques.</li><li>Excellent problem-solving and communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Highly competitive salary and benefits package.</li><li>Opportunities for career growth and development.</li><li>A challenging and rewarding work environment.</li><li>Health Insurance</li><li>Performance bonuses</li></ul></p><p><strong>A Day in the Life:</strong> Your day will involve model development, algorithm design, collaboration with other engineers, and working to improve Shell's energy operations.</p>