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 firstAI-powered industrial co-pilot, enabling faster, safer, and more reliable maintenance decisions.
Role Overview
We are seeking an AI Engineer Internto help us design and deploy intelligence that powers Noos inspection operating system and web platform. You'll buildmulti-modal AI modelscapable of interpreting visual, textual, and numerical data, generating insights, and supporting predictive and prescriptive decision-making. This role bridgescore AI model development(for product operating software) andAI 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-tunemulti-modal generative AI modelsfor inspection data (image, vibration, SCADA, LiDAR, etc.).
- Buildgenerative reasoning systemscapable of correlating multi-sensor signals into actionable insights.
- Implement lightweightedge-deployable inference modelsfor 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 Noosweb dashboard and APIs.
- Buildprompt orchestration,context memory systems, andAI agentsfor inspection reporting and fault analysis.
- Design afeedback loopfor 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 robustAI 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 experiencedeveloping and deploying AI/ML models (preferably in generative, multi-modal, or predictive domains).
- Hasstudied 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 inPython,PyTorch, orTensorFlow.
- Experience withLLMs,Vision-Language Models (VLMs), orGenerative Time-Series Models.
- Proficiency inMLOps,API deployment, andcloud platforms (AWS / GCP / Azure).
- Understanding ofmulti-modal fusion,embedding spaces, andtransformer architectures.
- Experience integrating models intoweb applications (React / Node / Flask / FastAPI).
- Familiarity withindustrial 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 buildingautonomous agents or copilots.
- Contributions to open-source AI frameworks.
- Familiarity withindustrial automation,wind energy, oraviationdata systems.
- Previous work inindustrial AI,wind energy,aviation, orpredictive maintenanceenvironments.
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.
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