Senior Software Engineer - AI Infrastructure

Introduction to the job

• We are looking for a skilled and forward-thinking Machine Learning & AI Ops Engineer to join our team. This hybrid role combines the responsibilities of MLOps and AI Ops, focusing on building scalable infrastructure for developing, deploying, monitoring, and maintaining AI systems. You will collaborate with cross-functional teams to ensure the reliability, performance, and automation of AI-driven applications.

Role and responsibilities

• Design, implement, and maintain end-to-end ML pipelines for training, inference, deployment, and monitoring.
• Build and manage scalable, reliable, and secure data pipelines for ingesting, transforming, and storing structured and unstructured data.
• Automate model deployment and lifecycle management using CI/CD tools and frameworks.
• Collaborate with algorithm engineers to productize ML workflows for e-beam inspection and metrology.
• Design and build scalable, high-performance infrastructure to support AI-based software development automation.
• Develop and maintain data pipelines for collecting, processing, and storing code, telemetry, and developer activity data.
• Collaborate with AI researchers and engineers to deploy and operationalize LLMs and other AI models in production environments.
• Maintain documentation and best practices for ML and AI Ops processes.

Education and experience

• Bachelor’s or Master’s degree in Computer Science or related field.
• 5+ years of experience in ML and/or AI Ops.
• Proficiency with ML/AI model lifecycle management (e.g., MLflow).
• Expertise with ML/AI frameworks (e.g., PyTorch) and model serving frameworks (e.g. Triton).
• Expertise with containerization (Docker, Kubernetes) and orchestration tools.
• Experience with LLMs, code intelligence, or AI-assisted development tools.

Skills

• ML & AI infrastructure
• Python

Other information

• None

The current base annual salary range for this role is currently:

Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members.

The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Company’s 401k plan. Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year. For more information, please contact the Recruiter or click on this link Compensation & Benefits in the US.

All new ASML jobs have a minimum application deadline of 10 days.

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.

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Please note: This email address is solely intended to provide a method for applicants to initiate ASML’s process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.