AI Architect

Kennedy Pearce Consulting; Baden-Württemberg; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A leading consulting firm is seeking a highly skilled AI Architect to drive the design and implementation of cutting-edge AI systems in Baden-Württemberg. This role involves collaborating with cross-functional teams to create scalable AI solutions for various applications, including manufacturing automation and advanced analytics. Ideal candidates will possess a strong technical background with a focus on machine learning and system architecture. The position encourages innovation, ensuring compliance with GDPR and exploring state-of-the-art methodologies.

Qualifikationen

• Proven experience as an AI/ML Engineer or similar role.
• Strong programming skills in Python; knowledge of C++ and Java is a plus.
• Familiarity with MLOps tools like MLflow, DVC, Kubeflow is an advantage.

Aufgaben

• Design AI/ML system architectures scalable across cloud, edge, and embedded platforms.
• Lead end-to-end development lifecycle of AI solutions, including model training and deployment.
• Drive adoption of MLOps best practices for machine learning.

Kenntnisse

Machine Learning

Deep Learning

NLP

Computer Vision

Programming in Python

Containerization

Data Engineering

MLOps

Ausbildung

Bachelor's or Master's degree in Computer Science, Engineering, Data Science

PhD

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Azure

AWS

GCP

Jobbeschreibung

Our client is seeking a highly skilled and visionary AI Architect to join our team in the Baden-Württemberg area. In this strategic role, you will lead the design and implementation of scalable, secure, and production-ready AI systems, driving innovation across our digital products and services.

You will bridge the gap between cutting-edge AI research and real-world applications-whether in manufacturing automation, intelligent systems, robotics, or advanced analytics.

Key Responsibilities

Design AI/ML system architectures that scale across cloud, edge, and embedded platforms.

Lead the end-to-end development lifecycle of AI solutions-from data pipelines and model training to deployment and monitoring.

Collaborate with data scientists, software engineers, DevOps, and product managers to translate business requirements into technical solutions.

Drive the adoption of MLOps best practices, including CI/CD for machine learning, model versioning, and reproducibility.

Select and integrate suitable AI frameworks and infrastructure (e.g., TensorFlow, PyTorch, ONNX, Kubernetes, GPU clusters).

Define data governance and AI ethics standards, ensuring compliance with GDPR and emerging AI regulations.

Evaluate new technologies and propose technical roadmaps for AI capabilities within the organization.

Partner with academic and research institutions to explore state-of-the-art AI methodologies (e.g., Reinforcement Learning, Foundation Models, Digital Twins).

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (PhD a plus).

Proven experience as an AI/ML Engineer, Machine Learning Architect, or similar role.

Deep knowledge of machine learning, deep learning, NLP, and computer vision.

Strong programming skills in Python (plus: C++, Java), and experience with AI/ML libraries (TensorFlow, PyTorch, Scikit-learn).

Solid understanding of software architecture, APIs, containerization (Docker, Kubernetes), and cloud platforms (Azure, AWS, GCP).

Familiarity with data engineering, streaming (Kafka, Spark), and databases (SQL/NoSQL).

Experience with MLOps tools like MLflow, DVC, Kubeflow is a strong advantage.

Strong communication skills in English & German.

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