Tech Consultant - AI & Machine Learning

NTT
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: []

Design and build scalable ML platforms and infrastructure that enable end-to-end model development, training, deployment, and inference. You’ll develop microservices-based architectures for ML applications, optimize real-time and batch inference pipelines, and collaborate with data scientists to productionize models. The role focuses on reliability, scalability, and performance, with hands-on work using Docker, Kubernetes, and CI/CD plus monitoring and logging for ML systems.

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FursaFursa
NTT
NTT
2 weeks ago

Tech Consultant - AI & Machine Learning

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Design and build scalable ML platforms and infrastructure that enable end-to-end model development, training, deployment, and inference. You’ll develop microservices-based architectures for ML applications, optimize real-time and batch inference pipelines, and collaborate with data scientists to productionize models. The role focuses on reliability, scalability, and performance, with hands-on work using Docker, Kubernetes, and CI/CD plus monitoring and logging for ML systems.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and develop robust ML platforms to support model development, training, and deployment.
  • •Build and maintain scalable microservices-based architectures for ML applications.
  • •Develop and optimize model inference pipelines for real-time and batch processing.
  • •Collaborate with data scientists and engineers to productionize ML models.
  • •Implement CI/CD, monitoring, and logging best practices to ensure ML platform reliability, scalability, and performance.

Key Requirements

  • •Strong experience in Python (must-have).
  • •Hands-on experience in ML Platform Engineering / ML Engineering.
  • •Solid understanding of model inferencing and deployment strategies.
  • •Experience with microservices architecture and platform development.
  • •Proficiency in Docker and Kubernetes.
Experience:ML engineeringMLOpsDistributed systems
Tech Stack:PythonDockerKubernetesMicroservicesCI/CDMonitoringLoggingAzureAzure MLAKS

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