Mid Level GenAI Engineer Job at NTT DATA (Chennai)

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 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

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 & 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

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

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 Master 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

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 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

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

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