AI Lead Engineer

YER

  • Eindhoven, Noord-Brabant
  • € 6.000-7.500 per maand
  • Vast
  • Voltijds
  • 2 dagen geleden
Eindhoven Wo Master Detachering via YERITITAI Lead EngineerEindhoven IT IT Wo Master Detachering via YERSolliciteer direct op deze vacatureSolliciteren kan al binnen 2 minuten
  • 1 dagen geleden geplaatst
  • Vacature nummer: V-20049127
SamenvattingEindhoven IT Wo Master Detachering via YER Geplaatst in:ITITOver deze vacatureAre 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!De functieJob missionThe 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.
Over het bedrijfASML is a successful Dutch high-tech enterprise that produces complex lithography systems used by chip manufacturers in the production of integrated circuits. ASML is at the cutting edge of this technology and delivers systems to all the world's leading chip manufacturers. ASML's employees are among the most creative talents in the fields of physics, mathematics, chemistry, mechanical engineering and software. Every day they collaborate in close-knit multidisciplinary teams in which members listen to and learn from one another and exchange ideas. It is the ideal environment for professional development and personal growth. ASML is headquartered in Veldhoven, the Netherlands.AanbodWhat we offer you:
  • Challenging assignments where you can make an impact and fully leverage your technical expertise.
  • Personal guidance from both your consultant and the YER back office, ensuring you always have the right support.
  • Growth and development opportunities, including participation in the YER Talent Development Programme with your own dedicated coach.
  • International support such as Dutch language lessons, assistance with taxes, and housing guidance-helping you feel at home quickly.
  • An open and collaborative culture focused on teamwork, results, and knowledge sharing.
  • Networking opportunities with other tech professionals from leading multinationals.
  • Inspiring events and masterclasses featuring renowned speakers and top companies.
At YER, you don't just get a job, you gain an environment where you can grow, innovate, and truly make a difference.Jouw profielQualifications
  • 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

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