Senior AI Engineer - Machine Learning (US)
Education Requirements:
BS in Computer Science, Electrical Engineering, Machine Learning, or related technical field
MA/PhD
Experience Requirements:
6 years of experience (BS) or 4 years of experience (MA/PhD)
3+ years building production-ready ML infrastructure
Other Requirements:
Proficiency in one or more modern programming languages such as Python, C++, or Java
Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks
Solid understanding of software engineering best practices: version control (Git), unit testing, code review, and CI/CD
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
Development experience in a cloud service environment such as Amazon AWS, MS Azure, or Google Cloud Platform
Responsibilities:
Collaborate with AI Scientists to understand model requirements and design scalable, efficient ML pipelines
Build and maintain reliable, performant infrastructure for data processing, model training, evaluation, and deployment
Own the end-to-end implementation of ML systems from research prototypes to production-grade code
Optimize model training/inference, latency, and resource usage
Develop monitoring, observability, and CI/CD tooling
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