AIRA Matrix - Senior MLOps Engineer - Python

Description :

- Take offline models data scientists build and turn them into a real machine learning production system.

- Develop and deploy scalable tools and services for our clients to handle machine learning training and inference.

- Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients 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 :

- 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.

- Fluency in Python.

- Comfort with Linux administration.

- 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.

- Ability to translate business needs to technical requirements.

- Strong understanding of software testing, benchmarking, and continuous integration.

- Exposure to machine learning methodology and best practices.

- Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.

Total Experience : 4+ years.