Senior MLOps Engineer

2 weeks ago


Thāne, Maharashtra, India AIRA Matrix Full time ₹ 10,00,000 - ₹ 25,00,000 per year

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 :
)


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