GenAI/ML Engineers

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

Design, develop, deploy, and maintain production-grade AI/ML solutions that modernize enterprise data, workflows, and legacy systems. Build end-to-end machine learning and generative AI capabilities using AWS cloud-native services, including RAG pipelines with vector databases. Collaborate across data, software, product, and business teams to deliver measurable outcomes with strong focus on evaluation, monitoring, governance, scalability, and responsible AI practices.

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FursaFursa
NTT
NTT
1 month ago

GenAI/ML Engineers

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Design, develop, deploy, and maintain production-grade AI/ML solutions that modernize enterprise data, workflows, and legacy systems. Build end-to-end machine learning and generative AI capabilities using AWS cloud-native services, including RAG pipelines with vector databases. Collaborate across data, software, product, and business teams to deliver measurable outcomes with strong focus on evaluation, monitoring, governance, scalability, and responsible AI practices.
Location: Gurugram, Noida
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 leveraging modern cloud-native architectures on AWS.
  • •Apply techniques across the full AI/ML lifecycle: data engineering, model development, evaluation, deployment, monitoring, and production support.
  • •Build and integrate Generative AI/LLM capabilities into production systems, including RAG systems (embeddings, chunking, retrieval, ranking, and response synthesis).
  • •Ensure operational readiness and production efficiency by improving code quality, model governance, scalability, and delivery practices.
  • •Collaborate with business partners, data stakeholders, software engineers, and product teams to translate business problems into technical AI/ML solutions and deliver measurable outcomes.

Key Requirements

  • •Bachelor’s or master’s degree in Computer Science, Data Science, or related technical discipline.
  • •10+ years of overall software development experience, including 3+ years hands-on AI/ML application development delivering production-grade solutions.
  • •Strong programming proficiency in Python, including API development with FastAPI or Flask.
  • •Hands-on experience building AI solutions on AWS (including Bedrock, SageMaker, Lambda, API Gateway, and S3).
  • •Practical experience with Large Language Models and Generative AI, including RAG frameworks/architectures (e.g., LangChain, LlamaIndex) and vector databases (e.g., Pinecone, FAISS, OpenSearch).
Experience:10+ years
Education:Bachelor's in Computer Science, Data Science, or related technical discipline
Skills:AnalyticalProblem-solvingCollaborationCommunicationOwnership
Tech Stack:PythonFastAPIFlaskC#JavaAWSAmazon BedrockAmazon SageMakerAWS LambdaAmazon API GatewayAmazon S3LangChainLlamaIndexRAGPineconeFAISSOpenSearchVector databasesOAuth 2.0IAM

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