AI/ML Engineer - MLOps/SRE

Role Overview

We are seeking a hands-on AI/ML Engineer specializing in MLOps and Site Reliability Engineering (SRE) to build, operate, and continuously improve production-grade machine learning systems. In this role, you will partner with data scientists, data engineers, and software teams to standardize the ML lifecycle, improve reliability and performance, and enable rapid, safe delivery of models and AI services at scale.

What You Will Do

Design and implement reusable MLOps platform capabilities for training, deployment, and monitoring of ML/LLM systems. Deploy models and AI services using containers and orchestration (e.g., Kubernetes) with robust rollout strategies (blue/green, canary, A/B). Implement end-to-end observability: structured logging, metrics, tracing, dashboards, and alerting for both infrastructure and model behavior.

Why It Might Be a Fit

You will have the opportunity to work with a global leader in diversified electronics for the semiconductor manufacturing ecosystem. You will be part of a team that thrives on tackling really hard problems and has a strong focus on innovation and R&D.

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field with 5+ years of relevant experience; OR a Master's/PhD with 3+ years of relevant experience
• Proven experience deploying and operating ML models or AI services in production environments
• Strong programming skills in Python and experience with common ML libraries and frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Hands-on DevOps/SRE experience: CI/CD, infrastructure as code, containerization, and operational excellence
• Experience with cloud platforms and managed services (Azure, AWS, or GCP) and building scalable, secure systems
• Experience with Kubernetes and modern model serving patterns (REST/gRPC, async workers, batch/stream inference)
• Strong understanding of monitoring and observability (metrics, logs, traces) and incident management processes
• Ability to communicate clearly with both technical and non-technical stakeholders, and to operate effectively in cross-functional teams

Benefits

• Competitive, family friendly total rewards package
• Inclusive environment
• Benefits that meet the diverse needs of employees