<p><b>What role you will play in team:</b> Develop and implement machine learning solutions to optimize energy production and improve efficiency.</p><p><b>What you will do:</b> You will work on projects involving predictive maintenance, energy optimization, and resource allocation.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for various applications within the energy sector.</li><li>Work with large datasets and implement scalable solutions.</li><li>Collaborate with engineers and domain experts to define problems and solutions.</li><li>Evaluate model performance and make recommendations for improvements.</li><li>Stay up-to-date on the latest advancements in machine learning.</li><li>Document code and models for maintainability and reproducibility.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree or PhD in Computer Science, Engineering, or related field.</li><li>Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Proficiency in Python or R programming languages.</li><li>Strong understanding of statistical modeling and machine learning techniques.</li><li>Experience with big data technologies (Spark, Hadoop).</li><li>Excellent communication and collaboration skills.</li></ul></p><p><b>Benefits Included:</b><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>Health insurance</li><li>Paid time off</li></ul></p><p><b>A Day in the Life:</b>  You'll be working on challenging problems with real-world impact, collaborating with a team of talented engineers and scientists.</p>