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Aaizel International Technologies Pvt Ltd Tech Stack

AI for geospatial, weather, and edge analytics on distributed infrastructure

Technology, Information and Media Gurugram, Haryana 11–50 employees Founded 2023 Public Company

Aaizel builds AI systems for geospatial analysis, weather forecasting, and IoT edge inference. The tech stack—Pandas, NumPy, PySpark, Hadoop, Kafka, TensorFlow Serving, ONNX—reflects a focus on distributed batch processing and real-time model serving. Hiring is tilted toward senior engineers and data specialists in India, suggesting depth over headcount as they tackle stated pain points around real-time throughput and high-volume inference.

Tech Stack 14 technologies

Core StackPandas NumPy PySpark Hadoop Apache Kafka Docker Kubernetes AWS Python Azure GCP TensorFlow Serving ONNX TorchServe

What Aaizel International Technologies Pvt Ltd Is Building

◆Challenges

Real-time processing requirements
High-throughput inference

▲Active Projects

Anomaly detection
Computer vision
Predictive analytics platform
Geospatial analysis tool

Hiring Activity

Accelerating8 roles · 5 in 30d

Department

Engineering

3

Data

2

Seniority

Senior

5

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About Aaizel International Technologies Pvt Ltd

Aaizel Technologies is an AI and analytics firm founded in 2023, headquartered in Gurugram, with 11–50 employees. They specialize in geospatial technologies, weather analytics, edge analytics for IoT systems, and emerging ML capabilities including computer vision, NLP, and generative AI. The company targets agriculture, energy, urban planning, and smart-city verticals. Current work includes anomaly detection, computer vision pipelines, a predictive analytics platform, and geospatial analysis tooling.

HeadquartersGurugram, Haryana

Company Size11–50 employees

Founded2023

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Aaizel use?

Python, Pandas, NumPy, PySpark, Hadoop, Apache Kafka, Docker, Kubernetes, AWS, Azure, GCP, TensorFlow Serving, ONNX, and TorchServe.

What is Aaizel working on?

Anomaly detection, computer vision, predictive analytics platforms, and geospatial analysis tools. They focus on real-time processing and high-throughput inference for IoT and weather applications.

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