ML Engineer

NTT
Bengaluru
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5-7 yearsSkills: ["Deep learning","Machine learning"]

Build and apply deep learning models for life science use cases, with a focus on neural networks and mandatory NER experience. Work with the platform using Python and Databricks to deliver ML outcomes for the team in Bangalore or in a remote setup within Karnataka, India. This role targets candidates with 5–7 years of relevant experience in life science and deep learning applications.

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FursaFursa
NTT
NTT
1 week ago

ML Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build and apply deep learning models for life science use cases, with a focus on neural networks and mandatory NER experience. Work with the platform using Python and Databricks to deliver ML outcomes for the team in Bangalore or in a remote setup within Karnataka, India. This role targets candidates with 5–7 years of relevant experience in life science and deep learning applications.
Location: Bengaluru
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Develop deep learning solutions for life science use cases.
  • •Apply neural networks to build ML models.
  • •Implement and improve NER models for relevant data.
  • •Build and deliver solutions on the Python platform.
  • •Use Databricks as part of the ML workflow.

Key Requirements

  • •5–7 years of experience in ML engineering.
  • •Life science and deep learning experience using neural networks.
  • •Mandatory NER experience.
  • •Hands-on platform development using Python.
  • •Experience with Databricks.
Experience:5-7 yearsLife scienceDeep learning
Skills:Deep learningMachine learning
Tech Stack:PythonDatabricksNeural networks

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