AIRA Matrix

5 days ago


Thane, India Aira Matrix Full time

Description : - Design the data pipelines and engineering infrastructure to support our clients enterprise machine learning systems at scale.- 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.Education Qualification : (ref:hirist.tech)



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