Freelance AI Engineer (ZZP)

Introduction to the job:

Are you passionate about leveraging machine learning to drive innovation and create value? Do you have a vision for how machine learning can transform the semiconductor industry? Do you want to be part of a team that develops cutting-edge ML solutions for the ASML Data Analytics Platform? If so, we are looking for you!

ASML leads the worldwide development, production, and sales of high-end lithography systems for the semiconductor industry. In short, we make the machines that make computer chips, or integrated circuits. We design and build some of the most complex machines that you will ever see – and the software to run them – to develop smaller, faster, and still more affordable chips. We aim to unlock the potential of people and society by pushing technology to new limits. It is because of our machines that the world’s technology has steadily evolved. ASML employs more than 40,000 employees, has offices in the US, Asia, and Europe, and is headquartered in Veldhoven, the Netherlands.

This position requires access to controlled technology, as defined in the Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

Job mission:

The AI Solutions Developer in the ASML Data Analytics team is responsible for designing, building, and integrating AI-driven capabilities into scalable, enterprise-grade applications. Rather than focusing solely on model development, you will work on industrializing AI solutions, ensuring they are robust, maintainable, and deliver real business value. You will collaborate closely with data scientists, data engineers, software developers, and business stakeholders to transform AI concepts into production-ready products and services. In this role, you will contribute to the evolution and management of AI services within the Data Analytics Platform in the IT Chief Data Office, enabling the organization to leverage AI at scale.

The position is based in the CDO Data Analytics. The AI Engineer works in close cooperation with the data scientists, data engineers, and software developers in the team and with the domain architect.

Roles and responsibilities:

• Design and build AI-driven solutions that address complex business challenges and deliver measurable value.

• Deploy AI-enabled applications into production environments, ensuring scalability, reliability, and maintainability.

• Collaborate with data scientists, data engineers, software developers, and business stakeholders to translate requirements into robust AI-powered solutions.

• Stay current with emerging AI and software development technologies and apply them where relevant.

• Participate in code reviews, testing, and documentation to maintain high-quality standards.

• Monitor and improve deployed AI components to ensure performance, accuracy, and compliance over time.

• Develop automated deployment strategies, including CI/CD pipelines and containerization (e.g., Docker, Kubernetes), to streamline delivery of AI-enabled applications.

Education and experience:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or a related field.

• 5+ years of experience in designing and developing software solutions that integrate AI capabilities.

• Hands-on experience with GenAI technologies such as RAG, MCP, or similar.

• Proficiency in Python and strong knowledge of modern software engineering practices (testing, CI/CD, code quality).

• Experience with Azure cloud platform (knowledge of GCP is a plus).

• Familiarity with integrating AI services (e.g., Azure AI, OpenAI, custom ML APIs) into enterprise applications.

• Understanding of containerization and orchestration (Docker, Kubernetes) for deploying AI-enabled applications.

• Knowledge of Infrastructure as Code (e.g., Terraform, Bicep) is a plus.

• Awareness of security, privacy, and compliance standards (e.g., GDPR, ISO 27000).

Skills:

• A strong passion for AI and its applications in solving real-world problems.

• A customer-centric and value-driven mindset and approach to developing AI/ML solutions.

• Strong analytical and problem-solving skills and the ability to make data-driven decisions.

• Excellent collaboration and communication skills and the ability to work effectively with different stakeholders and teams.

• Strong knowledge of machine learning algorithms, techniques, and best practices.

• Understanding of data architecture and data modeling concepts.

• Familiarity with agile and scrum methodologies and best practices.

• Strong familiarity with software engineering practices and Python as preferred programming language.

• Ability to drive automation for improved efficiency and scalability.