Lead Artificial Intelligence Engineer - Dusseldorf
Masentó are supporting an innovative and scaling Energy & Utilities manufacturing company based in Dusseldorf, Germany.
We're actively looking to speak with highly-skilled AI Engineer, who can take charge of a high-performing team.
Key Responsibilities
* Design and build scalable machine learning models and AI systems for applications such as demand forecasting, predictive maintenance, asset optimization, and energy usage analytics.
* Lead the end-to-end development lifecycle of AI solutions—from data exploration and feature engineering to model training, validation, deployment, and monitoring.
* Collaborate closely with data engineers, software developers, domain experts, and business stakeholders to deliver impactful AI products.
* Ensure AI solutions are secure, ethical, and comply with regulatory and privacy requirements.
* Provide technical mentorship to junior engineers and data scientists within the team.
* Stay up to date on the latest AI technologies, tools, frameworks, and trends, and evaluate their applicability to the organization’s needs.
Key Requirements & Experience
* Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, or a related technical field (Ph.D. is a plus).
* 5–8 years of experience in machine learning or AI engineering roles, preferably in an energy, utilities, or industrial setting.
* Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, XGBoost).
* Experience with time-series forecasting, anomaly detection, optimization, or reinforcement learning.
* Deep understanding of MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Git, CI/CD pipelines).
* Familiarity with energy systems and operational data sources (e.g., SCADA, AMI, GIS) is a strong plus.
* Experience deploying models in production environments using cloud services (Azure, AWS, or GCP).
* Ability to explain complex technical concepts to non-technical stakeholders.