Mid Level GenAI Engineer Job at NTT DATA (Bangalore)

Mid Level GenAI Engineer

The Mid Level GenAI Engineer role at NTT DATA involves developing and implementi...

Location

India , Pune

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks
Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP)
Experience delivering end-to-end GenAI based solutions
Strong Python experience to build multiple AI-ML/ GenAI Solutions
Experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen
Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
Experience working on hybrid search and re-rankers
Experience on evaluation & observability LangSmith/ human-in-the-loop workflows
Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP
Experience working on NLP, CV, Deep Learning Algorithms

Job Responsibility

Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval
Select/integrate/finetune LLMs & multimodal models
Apply prompt-engineering techniques to specific use cases and types
Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc
Should have good understanding of DevOps
Should have good understanding of LLM evaluation
Should have deployed min of 2 models in production (MLOps)
Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability
Unit testing of GenAI Solutions built and documentation of results

Fulltime

Mid Level GenAI Engineer

We are currently seeking a Mid level GenAI Engineers to join our team in Chennai...

Location

India , Chennai

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks
Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP)
Experience delivering end-to-end GenAI based solutions
Strong Python experience to build multiple AI-ML/ GenAI Solutions
Experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen
Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
Experience working on hybrid search and re-rankers
Experience on evaluation & observability LangSmith/ human-in-the-loop workflows
Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP
Experience working on NLP, CV, Deep Learning Algorithms

Job Responsibility

Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval
Select/integrate/finetune LLMs & multimodal models
Apply prompt-engineering techniques to specific use cases and types
Experience working on solutions based on LLM, NLP, DL, ML, object detection / classification etc
Good understanding of DevOps
Good understanding of LLM evaluation
Deployed min of 2 models in production (MLOps)
Understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability
Unit testing of GenAI Solutions built and documentation of results

Fulltime

New

Mid Level Genai Engineers

We are currently seeking a Mid level GenAI Engineers to join our team in Bangalo...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s Degree or equivalent
5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks
Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP)
Experience delivering end-to-end GenAI based solutions
Strong Python experience to build multiple AI-ML/ GenAI Solutions
Experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen
Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
Experience working on hybrid search and re-rankers
Experience on evaluation & observability LangSmith/ human-in-the-loop workflows
Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP

Job Responsibility

Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval
Select/integrate/finetune LLMs & multimodal models
Apply prompt-engineering techniques to specific use cases and types
Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc
Should have good understanding of DevOps
Should have good understanding of LLM evaluation
Should have deployed min of 2 models in production (MLOps)
Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability
Unit testing of GenAI Solutions built and documentation of results

Fulltime

Mid level GenAI Engineers

We are currently seeking a Mid level GenAI Engineers to join our team in Bangalo...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s Degree or equivalent
5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks
Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP)
Experience delivering end-to-end GenAI based solutions
Strong Python experience to build multiple AI-ML/ GenAI Solutions
Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen
Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
Should have experience working on hybrid search and re-rankers
Should have experience on evaluation & observability LangSmith/ human-in-the-loop workflows
Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP

Job Responsibility

Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval
Select/integrate/finetune LLMs & multimodal models
Apply prompt-engineering techniques to specific use cases and types
Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc
Should have good understanding of DevOps
Should have good understanding of LLM evaluation
Should have deployed min of 2 models in production (MLOps)
Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability
Unit testing of GenAI Solutions built and documentation of results

Mid level GenAI Engineer

Location

India , Pune

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor's/Master's Degree or equivalent
5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks.
Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP).
Experience delivering end-to-end GenAI based solutions.
Strong Python experience to build multiple AI-ML/ GenAI Solutions.
Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen.
Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
Should have experience working on hybrid search and re-rankers
Should have experience on evaluation & observability LangSmith/ human-in-the-loop workflows.
Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP

Job Responsibility

Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval.
Select/integrate/finetune LLMs & multimodalmodels.
Apply prompt-engineering techniques to specific use cases and types
Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc.
Should have good understanding of DevOps
Should have good understanding of LLM evaluation
Should have deployed min of 2 models in production (MLOps)
Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability.
Unit testing of GenAI Solutions built and documentation of results.

Fulltime

Mid level GenAI Engineers

The Mid Level GenAI Engineer will be responsible for developing and implementing...

Location

India , Pune

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Bachelor’s/Master’s Degree or equivalent
5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks
Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP)
Experience delivering end-to-end GenAI based solutions
Strong Python experience to build multiple AI-ML/ GenAI Solutions
Experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen
Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
Experience working on hybrid search and re-rankers
Experience on evaluation & observability LangSmith/ human-in-the-loop workflows
Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP

Job Responsibility

Build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval
Select/integrate/finetune LLMs & multimodalmodels
Apply prompt-engineering techniques to specific use cases and types
Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc
Should have good understanding of DevOps
Should have good understanding of LLM evaluation
Should have deployed min of 2 models in production (MLOps)
Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability
Unit testing of GenAI Solutions built and documentation of results

New

ML Tech Lead (GenAI, AWS)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Deep ML Expertise: Advanced knowledge across multiple ML domains
Production ML: Extensive experience building production-grade ML systems
Architecture: Ability to design scalable, maintainable ML architectures
MLOps: Strong understanding of ML infrastructure and operations
LLM Systems: Experience with modern LLM-based applications and RAG
Code Quality: Exemplary coding standards and best practices
Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
Cloud Platforms: Advanced AWS experience, familiarity with others
Data Engineering: Understanding of data pipelines and infrastructure
System Design: Ability to design complex distributed systems

Job Responsibility

Set technical direction and standards for ML projects
Make architectural decisions for ML systems
Review and approve technical designs
Identify and address technical debt
Champion best practices in ML engineering
Troubleshoot complex technical challenges
Evaluate and introduce new technologies and tools
Mentor junior and mid-level ML engineers (2-5 engineers)
Conduct technical code reviews
Provide guidance on technical problem-solving

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

Fulltime

Ml Tech Lead (Genai, Aws)

Provectus helps companies adopt ML/AI to transform the ways they operate, compet...

Location

Colombia , Medellín; Bogotá; Cali; Barranquilla; Bucaramanga

Salary:

Not provided

Provectus

Expiration Date

Until further notice

Requirements

Deep ML Expertise: Advanced knowledge across multiple ML domains
Production ML: Extensive experience building production-grade ML systems
Architecture: Ability to design scalable, maintainable ML architectures
MLOps: Strong understanding of ML infrastructure and operations
LLM Systems: Experience with modern LLM-based applications and RAG
Code Quality: Exemplary coding standards and best practices
Multiple ML Frameworks: Proficiency across TensorFlow, PyTorch, scikit-learn
Cloud Platforms: Advanced AWS experience, familiarity with others
Data Engineering: Understanding of data pipelines and infrastructure
System Design: Ability to design complex distributed systems

Job Responsibility

Set technical direction and standards for ML projects
Make architectural decisions for ML systems
Review and approve technical designs
Identify and address technical debt
Champion best practices in ML engineering
Troubleshoot complex technical challenges
Evaluate and introduce new technologies and tools
Mentor junior and mid-level ML engineers (2-5 engineers)
Conduct technical code reviews
Provide guidance on technical problem-solving

What we offer

Long-term B2B collaboration
Fully remote setup
A budget for your medical insurance
Paid sick leave, vacation, public holidays
Continuous learning support, including unlimited AWS certification sponsorship

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Mid Level GenAI Engineer

NTT DATA

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
May 20, 2026

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Mid Level GenAI Engineer

NTT DATA

Location:India , Bangalore

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:May 20, 2026

Looking for more opportunities? Search for other job offers that match your skills and interests.

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Mid Level GenAI Engineer

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ML Tech Lead (GenAI, AWS)

Ml Tech Lead (Genai, Aws)

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
May 20, 2026