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