AI/ML Engineer

2 - 6 years

11 - 15 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Summary

We are seeking for AI/ML Engineer with expertise in fine-tuning and deploying Large Language Models (LLMs) and Vision-Language Models (VLMs). The ideal candidate will be experienced in optimizing models using techniques such as LoRA, implementing Retrieval-Augmented Generation (RAG) systems, and developing scalable AI pipelines for diverse applications including text summarization, object detection, and intelligent agents.

Key Responsibilities

  • Fine-tune and optimize LLMs/VLMs (e.g., LoRA or other low-rank approaches) to meet project needs, delivering to use-cases such as intent recognition, text summarization, multi-turn dialogue, object detection, image captioning, and more.
  • Design and implement Retrieval-Augmented Generation (RAG) systems.
  • Build and maintain the toolchain for fine-tuning and deploying LLMs/VLMs; manage training clusters; and deliver efficient inference on both server-side and embedded targets.
  • Apply prompt-engineering and agent-based techniques to design, evaluate, and iterate solutions tailored to user scenarios.
  • Knowlege of PTQ and QAT for model deployment on the edge
  • Required Skills & Experience

  • Solid grounding in Natural Language Processing and Computer Vision; well-versed in mainstream models, their principles, strengths, and typical applications, with the ability to craft suitable technical solutions.
  • Proficient with deep-learning frameworks such as PyTorch; familiar with the architecture and implementation of models like Transformer, BERT, LLaMA, LLaVA and related extensions.
  • Hands-on experience designing production architectures for large-model applications (e.g., chatbots, RAG pipelines, intelligent agents).
  • Fluency in at least one programming language such as Python
  • Good to have C++
  • Qualifikationen

    Preferred Qualifications

  • Core contributor to a high-impact open-source project.
  • Publications in leading journals or conferences.
  • Top rankings in well-known competitions.
  • Awards in programming or mathematical-modeling contests.
  • Qualifications

    Bachelors or Masters in Computers & Technology

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