<p><strong>What role you will play in team:</strong> You will contribute to building and deploying machine learning models for optimizing oil and gas production.</p><p><strong>What you will do:</strong> You'll develop and implement algorithms for predictive maintenance, reservoir modeling, and other applications.</p><p><strong>Key responsibility:</strong><ul><li>Develop and implement machine learning models for various applications.</li><li>Work with large datasets using distributed computing frameworks.</li><li>Optimize model performance and deploy to production.</li><li>Collaborate with engineers and scientists.</li><li>Contribute to the development of new machine learning techniques.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD in Computer Science, Engineering or related field.</li><li>Strong programming skills in Python or Java.</li><li>Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).</li><li>Experience with cloud computing (AWS, Azure, GCP).</li><li>Excellent problem-solving and communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive compensation and benefits.</li><li>Opportunities for international assignments.</li><li>Work on challenging and impactful projects.</li><li>Mentorship and professional development programs.</li></ul></p><p><strong>A Day in the Life:</strong> A typical day involves designing, implementing, and testing machine learning models, collaborating with cross-functional teams, and conducting research.</p>