Lead Artificial Intelligence Engineer

Masentó Group; Düsseldorf; Vor Ort; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading company in the Energy & Utilities sector seeks a Lead Artificial Intelligence Engineer in Düsseldorf. The role involves designing scalable AI systems, leading a high-performing team, and ensuring compliance with regulatory standards. Ideal candidates will have extensive experience in AI engineering and proficiency in Python and relevant ML frameworks.

Qualifikationen

• 5–8 years of experience in machine learning or AI engineering roles.
• Strong proficiency in Python and ML frameworks.

Aufgaben

• Design and build scalable machine learning models and AI systems.
• Lead the end-to-end development lifecycle of AI solutions.

Kenntnisse

Python

Machine Learning

AI Engineering

Ausbildung

Bachelor’s or Master’s degree in Computer Science

Ph.D.

Tools

TensorFlow

PyTorch

scikit-learn

XGBoost

MLflow

Kubeflow

Docker

Git

Jobbeschreibung

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.