<p><strong>What role you will play in team:</strong> You will be a key member of our team, developing and deploying machine learning models to optimize energy production and improve operational efficiency across our global operations.</p><p><strong>What you will do:</strong>  Work on cutting-edge machine learning projects, collaborating with engineers and scientists to solve complex problems.</p><p><strong>Key responsibility:</strong><ul><li>Develop, train, and deploy machine learning models for various applications, such as predictive maintenance and energy optimization.</li><li>Work with large datasets and perform feature engineering.</li><li>Collaborate with engineers and scientists to integrate models into production systems.</li><li>Evaluate and improve model performance using appropriate metrics.</li><li>Stay up-to-date with the latest advancements in machine learning.</li><li>Contribute to the development of best practices for machine learning within the organization.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree or PhD in Computer Science, Machine Learning, or a related field.</li><li>Strong programming skills in Python or Java.</li><li>Experience with machine learning frameworks such as TensorFlow or PyTorch.</li><li>Experience with cloud computing platforms (AWS, Azure, GCP).</li><li>Excellent problem-solving and analytical skills.</li><li>Excellent communication and collaboration skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career growth.</li><li>A stimulating and challenging work environment.</li><li>Global mobility opportunities.</li><li>Commitment to sustainable energy solutions.</li></ul></p><p><strong>A Day in the Life:</strong> A day will involve working with large datasets, building models, collaborating with other experts, and contributing to impactful projects in the energy sector.</p>