AIML Senior Graph Engineer

5.00 to 10.00 Years Gurugram 07 Feb, 2023

Job Location	Gurugram
Education	Not Mentioned
Salary	Not Disclosed
Industry	Banking / Financial Services
Functional Area	Graphic Design
EmploymentType	Full-time

Job Description

Primary responsibility in this role is to build and expand knowledge graph, as well as deriving value from the knowledge graph via various forms of graph inference, node and edge embeddings, and other techniques. Responsible for modern graph-based innovation deployment for AI/Machine Learning solutions, products. Other key responsibilities would include providing service to other engineering teams across organization, cross functions for AI/ML model deployments or serving.Experiences 5+ years of experience working in AI/ML technology domain or similar. Good knowledge of Machine learning bias-variance trade off, exploration/exploitationand understanding of various model families, including neural net, decision trees, Bayesian models, deep learning algorithms (LSTM, CNN etc.) Good knowledge of deep learning for NLP and/or Transformer models Experience with the use of node embeddings and other applications of ML to knowledge graphs Experience with Graph and related technologies, e.g. TigerGraph, Ontotext GraphDB, Neo4j etc. Experience with ML frameworks and libraries like TensorFlow, Keras, Pytorch, Kubeflow Ability to learn new technologies quickly and mentor Data Science team members in AI/ML domain. Proven track record of delivering and willingness to roll up sleeves to get the job done. Excellent communication/presentation skills,

Keyskills :
AIML Senior Graph Engineer

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AIML Senior Graph Engineer

Job Description

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