Principal AIML Engineer

22 hours ago

Bengaluru, Karnataka, India T D Newton & Associates Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Looking for Diversity candidates.

Principal AI/ML Enginee

r

Lead innovation in deep learning, foundation models, reinforcement learning, or multimodal

AIKey Skill

  • s:GenAI, Python codi
  • ngResearch-level knowledge of LLMs, vision transformers (ViTs), diffusion models, RL, or multi-agent syste
  • msRAG & Vector Databases: Expertise in building and querying knowledge bases using Retrieval-Augmented Generation with Azure AI Search or similar technologi
  • esLLM Fine-Tuning: Hands-on experience with efficient finetuning techniques (LoRA/QLoRA) for specializing models on custom datase
  • tsProficiency with libraries for data transformation and comparison, such as JSON Patch and DeepDi
  • ffQuantum Computing: Understanding of quantum algorithms and tools like IBM's Qiskit and Google's Cir
  • q.Familiarity with Multimodal transformers - integrating text, image, and audio data to create mode
  • lsExperience on graph-based RAGs for contextual reasoning and incorporating knowledge connections from graph neural networks. Real time RAG systems to handle dynamic and up-to-date informati
  • onTrack record of research (papers, patents, open sourc

**e)

Must have ski**

  • lls

LLM & RAG Architecture Expert

  • ise:

Hands-on experience with Retrieval-Augmented Generation (RAG) architectures using embeddings via Azure AI Search and Databr
- icks.Proficient in implementing semantic search capabili
- ties.Familiar with MCP servers for scalable deploy
- ment.Agentic AI & Orchestration: (Must have differentiating factor will be level of exper
- tise)Experience with autonomous decision support using LangG
- raph.Skilled in agent orchestration using Microsoft Copilot Studio and Cr
- ewAI.Performance Optimization: (Must have differentiating factor will be level of exper
- tise)Working knowledge of latency reduction techniques for RAG-based applications, including Redis-based cac
- hing.LLM Fine-Tuning: (Must have for differentiating factor will be level of exper
- tise)Practical understanding of fine-tuning methods such as LoRA (Low-Rank Adaptat
- ion).Model Selection & Prompting: (Must have differentiating factor will be level of exper
- tise)Awareness of the latest LLMs tailored to specific use cases (e.g., Claude, Gemini, GPT ser
- ies).Understanding of prompt engineering requirements across different mo
- dels.Cost Estimation: (Must have differentiating factor will be level of exper
- tise)Ability to calculate and optimize costs for API-based model u
- sage.Functional/Team experience (Must
- haveExpertise with diverse AI uses cases -
- MustBusiness and Domain Understanding :
- MustTrack record of research (papers, patents, open source) – must

have

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