Bilingual Machine Learning Engineer

<p><strong>Machine Learning &amp; Generative IA Engineer</strong></p><p>We are looking for a motivated and goal-oriented ML/GenAI Engineer to join our Data<br>Science and Modelling team.<strong></strong></p><h3><strong><strong>Requirements:</strong></strong></h3><p>✅ Bachelor’s degree in Computer Science, Machine Learning, Geology, Statistics, Mathematics, etc.<br>✅ Experience with scientific scripting languages (e.g., Python, R, Matlab) and SQL<br>✅ Demonstrated experience deploying real-world machine learning solutions on hyperscale cloud platforms (e.g., AWS, Azure, GCP, Databricks)<br>✅ Familiarity with foundational concepts of Generative AI (e.g., LLMs, diffusion models, transformers) and relevant frameworks<br>✅ Excellent communication and presentation skills, able to effectively communicate with management, engineering teams, clients, and other stakeholders<br>✅ English level B2 or higher conversational (will be validated)</p><p></p><h3><strong>Preferred Qualifications:</strong></h3><p>✅ <strong></strong><strong></strong>Experience with object-oriented programming (e.g., Python, C#/C++, Java).<br>✅ <strong></strong>Knowledge of deep learning and related toolkits: TensorFlow, PyTorch, Keras, etc.<br>✅ <strong></strong>Knowledge of the energy industry, understanding different challenges and potential<br>solutions.<br>✅ <strong></strong>Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Data Version<br>Control).<br>✅ <strong></strong><strong></strong>Hands-on experience with GenAI frameworks (e.g., langchain, langgraph, adk, semantic&nbsp;kernel, dspy)</p><h3><br></h3><p>🚀 100% Remote<br>💡 Remuneration in dollars<br>📊 Stability and growth&nbsp;opportunities&nbsp;</p><p>If you’re ready to <strong>turn data into game-changing insights,</strong> we want to hear from you! Apply today and help shape the future of the energy market.</p><p><br></p>