AI Engineer (ID 3792)

STAFIDE

Job Location:

Eindhoven - Netherlands

Monthly Salary: Not Disclosed

Experience Required: 6-8years

Posted on: 6 days ago

Vacancies: 1 Vacancy

Job Summary

As an SAP AI Engineer You Will:

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.

What You Bring to the Table:

68 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.

You Should Possess the Ability To:

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 Bring to the Table:

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.

Lets Connect

Want to discuss this opportunity in more detail Feel free to reach out.

Recruiter: Asha Krishnan

Phone:; Extn :146

E-mail:

LinkedIn: Skills:

As an SAP AI Engineer You Will: 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. What You Bring to the Table: 68 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. You Should Possess the Ability To: 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 Bring to the Table: 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. Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Asha Krishnan Phone:; Extn :146 E-mail: LinkedIn: