Freelance AI Lead Engineer (ZZP)

Preferred start date: ASAP

Assignment duration: 12 months

Flex type: Capacity Flex

FTE: 40 hours (36 hours is possible)

Shift: Regular dayshift

Introduction to the job:

Are you an experienced engineer with a passion for AI and cloud technologies? Do you want to lead the development and operationalization of AI solutions that drive innovation in the semiconductor industry? If so, we are looking for you to join our team as an AI Lead Engineer!

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 Lead Engineer in the CDO Data Analytics team is responsible for leading the design, development, and maintenance of scalable and robust AI platform and AI solutions. You will play a pivotal role in operationalizing AI/ML workflows, optimizing infrastructure, and enabling efficient, secure, and reliable AI deployments. This role is crucial for maintaining high availability, scalability, and performance of AI services while collaborating with global teams to ensure cohesive strategy and implementation.

Role and responsibilities:

• Mentor 30+ engineers across 6 AI focused teams, lead the design, development, and maintainability through CI/CD of scalable AI/ML workloads across hybrid cloud environments

• Design and implement API’s to securely expose platform services (ex. AI models) and to integrate loosely coupled application components

• Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools like Terraform or Ansible. Implement testing of automated deployments and observability frameworks (ex. Prometheus, Grafana, or Datadog) for application functionality including monitoring, logging, and tracing

• Coach colleagues (across ASML regions, ex. US, Veldhoven) in developing solutions in line with industry best practices and ‘socialize’ generalized frameworks to standardize development. Responsible for quality reviews, guiding cross sector co-development initiatives and continuous improvement.

Qualifications:

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

• 8+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering, with a focus on AI/ML.

• Strong expertise in cloud platforms (Azure, Google Cloud, or AWS) and Kubernetes (both SDLC on Kubernetes and Kubernetes core underlying components)

• Experience with GPU-accelerated compute environments and AI-specific tools like NVIDIA Triton, Kubeflow, or MLflow.

• Strong software engineering expertise in MLOps practices and proficiency in scripting (Python, JavaScript, Bash, or equivalent).

• Strong hands-on experience with Infrastructure-as-Code (IaC) frameworks like Terraform

Diversity and inclusion:

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train, and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

Other information:

The position is based in the CDO Data Analytics. The AI Lead Engineer works closely with AI Engineers, Other Lead Engineers, Domain architects, and other stakeholders to ensure the successful implementation of AI solutions.