Expert - Azure Data Scientist

NTT
India
Full timeFunction: Data Science & Machine LearningSkills: []

Apply advanced data science to build and deploy machine learning and deep learning models on Azure. You’ll use Python and ML frameworks (e.g., TensorFlow, PyTorch, or Keras) to implement NLP solutions with tools such as SpaCy, NLTK, or Hugging Face. The role also emphasizes responsible AI, including model interpretability and fairness using SHAP, LIME, and Fairlearn, working with cloud services to deliver scalable outcomes.

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FursaFursa
NTT
NTT
16 hours ago

Expert - Azure Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Apply advanced data science to build and deploy machine learning and deep learning models on Azure. You’ll use Python and ML frameworks (e.g., TensorFlow, PyTorch, or Keras) to implement NLP solutions with tools such as SpaCy, NLTK, or Hugging Face. The role also emphasizes responsible AI, including model interpretability and fairness using SHAP, LIME, and Fairlearn, working with cloud services to deliver scalable outcomes.
Location: India
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Requirements

  • •Strong understanding of statistical methods, ML algorithms, and deep learning architectures.
  • •Proficient in Python with experience using machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
  • •Familiarity with cloud-based platforms/services such as AWS, GCP, or Azure.
  • •Experience with NLP techniques and tools such as SpaCy, NLTK, or Hugging Face.
  • •Knowledge of model interpretability and fairness frameworks (SHAP, LIME, Fairlearn) and responsible AI principles.
Tech Stack:PythonTensorFlowPyTorchKerasAWSGCPAzureSpaCyNLTKHugging FaceSHAPLIMEFairlearn

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn