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ML Ops Engineer

5 - 10 years

20 - 30 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & responsibilities

  • University Degree in Computer Science, Information Technology, or related field
  • 5+ years of experience in the Machine Learning Operations role
  • 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
  • Strong analytic skills related to working with structured, semi structured and unstructured datasets
  • Advanced Machine learning techniques: Decision Trees, Random Forest, Boosting Algorithm, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction

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Infobeans
Infobeans

Software Development

Danville California

1001-5000 Employees

50 Jobs

    Key People

  • Nitin Sethi

    CEO
  • Ravi Sharma

    CTO

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