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Lead MLOPS Engineer


Cloudangle It Solutions


Location

Secunderabad | India


Job description

- 3-5 years of experience in developing/working on MLOps systems, and an overall experience of 7 years in IT

- Expert on using Python to develop scripts for MLOps

- Expert on cloud platform (Azure/AWS) developer environments

Requirements

Experience in

- Designing data pipelines and engineering infrastructure to support enterprise machine learning systems at scale

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

- Developing and deploying scalable tools and services for our clients to handle machine learning training and inference

- Understanding application of software engineering rigor and best practices to machine learning, like CI/CD, automation, auditability, versioning, and data security (KubeFlow, MLFlow)

- Developing and maintaining ML systems built with open source tools (Kale)

- Facilitate the development and deployment of proof-of-concept machine learning systems

- Previous work with data drift model drift

- Expertise on Kubernetes, Kafka, and/or docker

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

- Expert in using AWS or Azure ML tools (SageMaker/Azure ML etc.) [preferred]


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