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Lead Engineer

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 : BE/B.Tech/MCA/M.Sc/M.Tech.

Thane

AIRA Matrix - Senior MLOps Engineer - Python 

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