AI Engineer 2 (Data & AI Department)
Core
Develop and operationalize AI/ML solutions for critical energy sector operations and regulatory functions, managing the full lifecycle from design to production deployment.
Role type
Senior AI Engineer (MLOps & Model Lifecycle)
Builds
Production-ready AI/ML models and MLOps infrastructure for energy sector regulatory and operational use cases.
Domain
Energy sector / Regulatory compliance / AI & Machine Learning
Deliverable
production ML models
Required skills
AI/ML modelling (supervised/unsupervised/deep learning), Python, PyTorch, TensorFlow, MLOps lifecycle management, model optimization (quantization/pruning/knowledge distillation), CI/CD/CT pipelines, stakeholder engagement
Preferred skills
Specialized AI certifications, systems thinking approach
Technologies
Python, PyTorch, TensorFlow, Pandas
Responsibilities
Design, test, and implement AI/ML models for diverse energy sector use cases; Establish and maintain MLOps foundations including CI/CD/CT pipelines and automated retraining; Lead engagement with senior management and business users to translate AI outputs into actionable insights
Seniority
Senior, hands-on IC with technical leadership
