AI Engineer (ID: 3792)

STAFIDE

Eindhoven, North Brabant, NetherlandsPosted today

Location

Eindhoven, North Brabant, Netherlands

SAP AI Engineer

Responsibilities

Design, develop, and deploy AI-powered solutions to address complex business challenges and drive digital transformation initiatives.
Select appropriate machine learning, deep learning, and Generative AI algorithms based on business requirements and technical feasibility.
Build, train, evaluate, and optimize AI models to achieve high levels of accuracy, performance, and scalability.
Fine-tune machine learning models, large language models (LLMs), and Generative AI solutions using advanced techniques and best practices.
Convert AI and machine learning prototypes into production-ready APIs and enterprise-grade applications.
Integrate AI solutions with existing SAP and enterprise business applications to enhance operational efficiency and decision-making.
Develop and maintain scalable data ingestion pipelines, model training environments, and production infrastructure.
Support the deployment, monitoring, and lifecycle management of AI models in production environments.
Continuously monitor deployed models for performance degradation, data drift, bias, and reliability concerns.
Implement model optimization strategies to improve scalability, efficiency, and business outcomes.
Collaborate closely with data scientists, software engineers, architects, and business stakeholders to translate business challenges into AI use cases.
Contribute to AI governance, security, compliance, and responsible AI practices.
Maintain technical documentation, solution designs, and deployment procedures.
Stay current with emerging AI, machine learning, and Generative AI technologies and industry trends.

Required Experience and Skills

6–8 years of experience in Artificial Intelligence, Machine Learning, Data Science, or AI Engineering roles.
Strong expertise in machine learning, deep learning, and Generative AI technologies.
Hands-on experience building, training, and deploying machine learning and AI models in enterprise environments.
Experience working with Large Language Models (LLMs), prompt engineering, and Generative AI frameworks.
Strong understanding of model selection, feature engineering, hyperparameter tuning, and model optimization techniques.
Experience developing APIs and integrating AI solutions into business applications and enterprise platforms.
Knowledge of scalable data pipelines, model training infrastructure, and production AI environments.
Experience monitoring production models for performance, reliability, and data drift.
Understanding of MLOps practices, model lifecycle management, and AI deployment strategies.
Strong analytical, problem-solving, and troubleshooting capabilities.
Experience collaborating with cross-functional teams in Agile delivery environments.
Excellent communication and stakeholder management skills.
Ability to translate business requirements into practical AI-driven solutions.

Key Capabilities

Design and implement scalable AI and machine learning solutions for enterprise environments.
Transform business challenges into innovative AI use cases and technical solutions.
Deploy, monitor, and optimize AI models throughout their lifecycle.
Integrate AI capabilities seamlessly into existing business applications and processes.
Collaborate effectively with technical and business stakeholders.
Drive AI innovation while maintaining governance, security, and operational excellence.
Troubleshoot complex AI, data, and infrastructure-related challenges.
Adapt quickly to evolving AI technologies and business requirements.

What We Offer

Opportunity to work on cutting-edge AI, Machine Learning, and Generative AI initiatives.
Exposure to enterprise-scale digital transformation and intelligent automation programs.
Collaborative and innovation-focused engineering environment.
Opportunities for continuous learning, research, and professional development.
Dynamic workplace encouraging technical leadership, creativity, and ownership.
Exposure to advanced AI technologies, cloud platforms, and next-generation enterprise solutions.