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AI Engineer Intern
AI Engineer InternConfidential • Mumbai, India
AI Engineer Intern

AI Engineer Intern

Confidential • Mumbai, India
27 days ago
Job description

About Noos AI

Noos AI (Next-Gen Optimisation Operating System) is building the intelligence behind every inspection. Our mission is to eliminate data fragmentation in heavy industries like wind energy and aviation by fusing all inspection data - visual, thermal, LiDAR, vibration, and SCADA into one AI-driven decision layer. We're creating the world's first  AI-powered industrial co-pilot , enabling faster, safer, and more reliable maintenance decisions.

Role Overview

We are seeking an AI Engineer Intern  to help us design and deploy intelligence that powers Noos' inspection operating system and web platform. You'll build  multi-modal AI models  capable of interpreting visual, textual, and numerical data, generating insights, and supporting predictive and prescriptive decision-making. This role bridges  core AI model development  (for product operating software) and  AI integration into our SaaS web application , ensuring that Noos feels intelligent, contextual, and adaptive across every user interaction.

Key Responsibilities

Model Development & Optimisation

  • Develop and fine-tune  multi-modal generative AI models  for inspection data (image, vibration, SCADA, LiDAR, etc.).
  • Build  generative reasoning systems  capable of correlating multi-sensor signals into actionable insights.
  • Implement lightweight  edge-deployable inference models  for on-device and turbine-level intelligence.
  • Research and integrate foundation models (vision-language, time-series, reinforcement learning) to enhance predictive reliability.

Platform Integration

  • Collaborate with the software and design teams to embed AI capabilities into Noos'  web dashboard and APIs .
  • Build  prompt orchestration ,  context memory systems , and  AI agents  for inspection reporting and fault analysis.
  • Design a  feedback loop  for real-time learning and continuous model improvement based on operator input.
  • Data & Infrastructure

  • Work closely with the data engineering team to unify fragmented datasets into a common ontology.
  • Contribute to a robust  AI data pipeline from ingestion to labeling, training, and deployment.
  • Optimize inference pipelines for latency, scalability, and energy efficiency in industrial environments.
  • Requirements

    Experience & Domain Background

  • Some experience  developing and deploying AI / ML models (preferably in generative, multi-modal, or predictive domains).
  • Has  studied or worked in related industries , such as mechanical / electrical engineering, industrial automation, or aerospace systems with a clear understanding of real-world data sources (SCADA, vibration, imagery, etc.).
  • Technical Skills

  • Strong foundation in  Python ,  PyTorch , or  TensorFlow .
  • Experience with  LLMs ,  Vision-Language Models (VLMs) , or  Generative Time-Series Models .
  • Proficiency in  MLOps ,  API deployment , and  cloud platforms (AWS / GCP / Azure) .
  • Understanding of  multi-modal fusion ,  embedding spaces , and  transformer architectures .
  • Experience integrating models into  web applications (React / Node / Flask / FastAPI) .
  • Familiarity with  industrial or inspection data  (imagery, vibration, LiDAR) is a strong plus.
  • Soft Skills

  • A systems thinker who thrives on complexity and clarity.
  • Strong collaboration mindset bridging AI, product, and design.
  • Comfortable working in early-stage, fast-moving environments.
  • Bonus

  • Previous Experience building  autonomous agents or copilots .
  • Contributions to open-source AI frameworks.
  • Familiarity with  industrial automation ,  wind energy , or  aviation  data systems.
  • Previous work in industrial AI, wind energy, aviation, or predictive maintenance environments.
  • Why Join Noos

  • Build frontier AI that impacts the physical world.
  • Shape the future of intelligent inspection across industries.
  • Work directly with a global, high-performing team combining robotics, AI, and design excellence.
  • Be part of a company redefining industrial reliability from the ground up.
  • Send us your applications at [HIDDEN TEXT]

    Skills Required

    Node, Tensorflow, React, Pytorch, MLops, Flask, FastAPI, Python

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