GenAI/ML Engineers

NTT
Gurugram
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: bachelorsSkills: ["Communication","Collaboration","Problem-solving","Analytical thinking","Ownership"]

Design, develop, deploy, and maintain production-grade AI/ML solutions using AWS cloud-native architectures. Apply the full AI/ML lifecycle—from data engineering and model development through evaluation, deployment, monitoring, and production support—while integrating Generative AI and Large Language Models into enterprise systems. Collaborate with data stakeholders, software engineers, and product teams to deliver measurable outcomes, using tools like GitHub, CI/CD, and responsible AI practices.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
NTT
NTT
3 weeks ago

GenAI/ML Engineers

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Design, develop, deploy, and maintain production-grade AI/ML solutions using AWS cloud-native architectures. Apply the full AI/ML lifecycle—from data engineering and model development through evaluation, deployment, monitoring, and production support—while integrating Generative AI and Large Language Models into enterprise systems. Collaborate with data stakeholders, software engineers, and product teams to deliver measurable outcomes, using tools like GitHub, CI/CD, and responsible AI practices.
Location: Gurugram
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, deploy, and maintain AI/ML solutions using AWS cloud-native architectures.
  • •Own the end-to-end AI/ML lifecycle, including data engineering, model development, evaluation, deployment, monitoring, and production support.
  • •Integrate Generative AI and Large Language Models into production systems, including building and optimizing RAG pipelines.
  • •Use engineering platforms and AI-assisted tools (e.g., GitHub Copilot) to improve developer productivity, code quality, documentation, and testing.
  • •Ensure responsible AI usage, model governance, operational readiness, and secure, scalable delivery in collaboration with cross-functional teams.

Key Requirements

  • •Bachelor’s or master’s degree in Computer Science, Data Science, or a related technical discipline.
  • •10+ years of overall software development experience, including 3+ years hands-on with machine learning or AI application development in production settings.
  • •Strong Python skills, including API development with FastAPI or Flask.
  • •Experience building AI solutions on AWS (including Bedrock, SageMaker, Lambda, API Gateway, and S3).
  • •Hands-on knowledge of Generative AI/LLMs and practical RAG systems (retrieval, ranking, response synthesis), plus vector databases (e.g., Pinecone, FAISS, OpenSearch).
Experience:10+ yearsMachine learningGenerative AILarge Language ModelsRAG
Education:Bachelor's in Computer Science, Data Science, or a related technical discipline
Skills:CommunicationCollaborationProblem-solvingAnalytical thinkingOwnership
Tech Stack:PythonFastAPIFlaskC#JavaAWSAmazon BedrockSageMakerLambdaAPI GatewayS3GitHubTeamCityDatadogArtifactoryConfluenceJiraCI/CDGitHub CopilotLangChain

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