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NTT DATA Services
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Bengaluru · Hybrid · 5-8 Yrs · Nov 2
3 views
18 open roles1 posted in 7d18 in 30d
Hiring: Engineering
Job description
Overview
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
Qualifications
- 5+ years of experience in Software Engineering, Data Science, Machine Learning, or AI Engineering.
- 3+ years of hands-on experience with Python, Machine Learning frameworks, and production AI/ML development.
- 2+ years of experience developing Generative AI, LLM, RAG, or AI-enabled applications.
- 2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.
- Programming: Python, SQL
- AI/ML: Scikit-learn, PyTorch, TensorFlow or similar
- Generative AI: LLMs, Prompt Engineering, RAG, Embeddings
- AI Frameworks: LangChain, LangGraph, LlamaIndex or similar
- Vector Search: Pinecone, FAISS, Chroma, pgvector or similar
- API Development: REST APIs, Microservices
- Cloud AI: AWS Bedrock/SageMaker, Azure AI Foundry/Azure OpenAI, or Vertex AI
- Data: Data Processing, Feature Engineering, Model Pipelines
- DevOps/MLOps: Git, CI/CD, Model Deployment & Monitoring
Nice to have
- Experience building Agentic AI solutions and AI agents.
- Experience with tool/function calling and multi-step AI workflows.
- Knowledge of Model Context Protocol (MCP).
- Experience with AWS Bedrock, Azure AI Foundry, OpenAI, or Anthropic APIs.
- Experience developing production-grade RAG solutions with retrieval evaluation and optimization.
- Knowledge of vector databases and semantic search.
- Experience with LLM evaluation, tracing, monitoring, and observability.
- Knowledge of AI guardrails, prompt-injection prevention, data privacy, and Responsible AI.
- Experience with Docker and Kubernetes.
- Familiarity with Databricks, Spark/PySpark, or Snowflake.
- Experience with MLOps and model lifecycle management.
- Experience in Banking, Financial Services, Insurance, Healthcare, Retail, or other enterprise domains.
- Strong analytical, software engineering, communication, and problem-solving skills.
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Job application FAQ
Last updated 7 November 2026
- How do I apply for Tech Consultant - AI Engineer at NTT DATA Services?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. NTT DATA Services may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Tech Consultant - AI Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Tech Consultant - AI Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked hybrid with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Tech Consultant - AI Engineer role at NTT DATA Services?
- This is a mid-level Tech Consultant - AI Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.