Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials

Overview

CMMI-certified AI DeepTech & digital engineering company. 100+ clients across 10+ countries. AI, Cloud, Quality Engineering & Enterprise Transformation Services.

Tech stack

Technologies named in job postings at Sahana System Limited over the last 12 months, by layer, with the share of postings for each.
Technologies in use
30
Postings analysed
2
Stack modernity
79/100AI adopter
Languages
C++
Python
Frameworks & libraries
Keras
OpenCV
PyTorch
PyTorch C++
TensorFlow
TensorFlow C++
Detectron2
FastAPI
Cloud & platforms
AWS
Azure
GCP
Kubeflow
MLFlow
Developer tools
Docker
CVAT
Git
MMDetection
ONNX
TensorRT
AI & ML
YOLO
CLIP
Practices & domains
CI/CD
CNN
Computer Vision
OCR
Diffusion Models
Multimodal AI
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Growth

Hiring Momentum
30/100
Slowing
Open positions
1
0 opened / 0 closed in 30 days
Median time-to-fill
12 days
faster than 66% of the market
Hiring Dynamics 0%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
100% ▲

Offices

Where the company hires and what each office is for
Cities
2
Hiring now
0
Countries
2
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Headquarters Builds here Office with open vacancies No open vacancies right now Tap a pin for the office
Ahmedabad India
Regional office
1 posted in 90 days 200-500 est. staff
303, Earth Arise, Near YMCA Club, SG Highway, Ahmedabad, Gujarat, 380054, IN
seen since Sep 2026 company site
Broadway United States
Regional office
US Office
418, Broadway, STE N, Albany, New York, 12207, USA
company site
Earlier presence
Gandhinagar, India 1 open roles · last posting Sep 2026

Jobs

≈ $17k – $39k per year (Estimated) • In office • 3+ years exp • Ahmedabad • Gandhinagar
Python
C++
Flask
FastAPI
C++
TensorFlow C++
PyTorch C++
AI/ML
OpenCV
MLFlow
YOLO
Multimodal AI
Diffusion Models
Computer Vision
ONNX
TensorRT
MMDetection
Kubeflow
Detectron2
TensorFlow
Keras
PyTorch
CLIP
CNN
OCR
CVAT
DevOps
GCP
Azure
CI/CD
Git
AWS
Docker
Apply