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Open nowFirst seen 5 days ago

Senior AI/ML Engineer NLP & Generative AI

PradeepIT Consulting Services Pvt Ltd2,005 open roles

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Your applicationOpen nowSenior AI/ML Engineer NLP & Generative AIPradeepIT Consulting Services Pvt Ltd

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  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

· Location Bengaluru only. No relocation.

· Bill rate 25 LPA.

· Client IBM (Contract to Hire).

· Work location Bengaluru.

· Payroll Experis IT Pvt Ltd.

· Work mode- 3 days work from client office.

· Number of rounds of interviews and the overall process - 2 to 3 round of interviews.

· Interview mode Virtual Mode.

· Shift timings It would be rotational shifts/General shift.

· Number of open positions 1.

· Experience range 5+ years.

· Notice period Immediate or 15 days Max.

Mandatory Skills - GenAI, NLP, RAG, Python, AWS/Azure AI Services.

Job Descriptions

Role: Senior AI/ML Engineer NLP & Generative AI

About the Role:

We are hiring a Senior AI/ML Engineer specializing in Natural Language Processing (NLP) and

Generative AI to join our high-impact AI Solutions team, focused on delivering advanced,

production-grade AI solutions in the Electrification domain. In this role, you will work at the frontier

of AI innovationdesigning and developing Retrieval-Augmented Generation (RAG) pipelines, fine-

tuning LLMs, and building Agentic AI systems that are robust, scalable, and insightful.

Responsibilities:

1. Design, develop, and optimize NLP-driven AI solutions using state-of-the-art models and

techniques (NER, embeddings, summarization, etc.).

2. Build and productionize RAG pipelines and agentic workflows to support intelligent, context-

aware applications.

3. Fine-tune, prompt-engineer, and deploy LLMs (OpenAI, Anthropic, Falcon, LLaMA, etc.) for

domain-specific use cases.

4. Collaborate with data scientists, backend developers, and cloud architects to build scalable AI-

first systems.

5. Evaluate and integrate third-party models/APIs and open-source libraries for generative use

cases.

6. Continuously monitor and improve model performance, latency, and accuracy in production

settings.

7. Implement observability, performance monitoring, and explainability features in deployed

models.

8. Ensure solutions meet enterprise-level requirements for reliability, traceability, and

maintainability.

Required Qualifications:

  • Masters or Bachelors degree in Computer Science, Machine Learning, AI, or a related field.
  • 5+ years of overall experience in AI/ML, with at least 2+ years in NLP and 12 years in Generative
  • AI.
  • Strong understanding of LLM architectures, fine-tuning methods (LoRA, PEFT), embeddings, and
  • vector search.
  • Experience in designing and deploying RAG pipelines and working with multi-step agent
  • architectures.
  • Proficiency in Python and frameworks like LangChain, Transformers (HuggingFace),
  • LlamaIndex, SmolAgents, etc.
  • Familiarity with ML observability and explainability tools (e.g., TruEra, Arize, WhyLabs).
  • Knowledge of cloud-based ML services like AWS Sagemaker, AWS Bedrock, Azure OpenAI
  • Service, Azure ML Studio, and Azure AI Foundry.
  • Preferred Qualifications:
  • Experience in integrating LLM-based agents in production environments.
  • Understanding of real-time NLP challenges (streaming, latency optimization, multi-turn
  • dialogues).
  • Familiarity with LangGraph, function calling, and tools for orchestration in agent-based systems.
  • Exposure to infrastructure-as-code (Terraform/CDK) and DevOps for AI pipelines.
  • Domain knowledge in Electrification, Energy, or Industrial AI is a strong plus.
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