Job Title: MLOps Team Member (AI & Cloud Engineering)
About the Role
We are seeking a highly skilled MLOps team member to join our AI & Cloud Engineering Division. As part of this role, you will develop best-in-class software toolchains for AI software & hardware, supporting internal and external customers.
Responsibilities:
- Design AI/ML pipelines and engineering infrastructure to support internal and external machine learning systems at scale.
- Develop and deploy scalable tools and services to handle machine learning training and inference.
- Identify and evaluate new technologies to improve performance, maintainability, and reliability of machine learning systems.
- Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
- Support model development, with an emphasis on auditability, versioning, and data security.
- Facilitate the development and deployment of proof-of-concept machine learning systems.
- Communicate with clients to build requirements and track progress.
Qualifications:
- Bachelor's or Master's degree in computer science, machine learning, mathematics, physics, electrical engineering or related field.
- Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent).
- Strong software engineering skills in complex, multi-language systems.
- Experience in C/C++, Python, or other related programming language.
- Experience working with cloud computing and database systems.
- Experience building custom integrations between cloud-based systems using APIs.
- Experience developing and maintaining ML systems built with open source tools.
- Experience developing with containers and Kubernetes in cloud computing environments.
- Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.).
- Understanding of software testing, benchmarking, and continuous integration.
- Experience working with machine learning frameworks such as PyTorch, TensorFlow, ONNX etc.
- Understanding of System-on-Chip is a plus. Ability to speak and write in English at a business level.
Estimated Salary: $120,000 - $180,000 per year
Location: Tokyo, Beijing, Singapore
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