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Overview
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Tech stack
Technologies named in job postings at Aptino over the last 12 months, by layer, with the share of postings for each.
Technologies in use
40
Postings analysed
3
Stack modernity
88/100AI adopter
Languages
Python
Java
SQL
Frameworks & libraries
NumPy
Pandas
PyTorch
TensorFlow
Cloud & platforms
Spark
AWS
Azure
GCP
AI & ML
LLM
LoRA
QLoRA
PEFT
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Full Aptino tech stack
40 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
32/100
Slowing
Open positions
2
0 opened / 0 closed in 30 days
Median time-to-fill
4 days
faster than 82% of the market
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% ▲
Actively hiring for AI/ML (+3 in 30 days)
Offices
Where the company hires and what each office is for
Cities
4
Hiring now
1
Countries
3
Busiest office
Pune
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Headquarters
Builds here
Office with open vacancies
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Pune
India
Regional office
1 open roles 1 posted in 90 days 100% engineering
hires for AI/ML
Office #201B, Lalwani House B, Sakore Nagar, Viman Nagar, Pune 411014
Hyderabad
India
Regional office
Dallas Center, 6th Floor 83/1, Plot No A1, Knowledge City, Rai Durg Hyderabad, TS 500032
Singapore
Singapore
Regional office
200 Tuas South Avenue 2, West Point Bizhub, Singapore,
200 Tuas South Avenue 2, West Point Bizhub, Singapore,, 637205
Toronto
Canada
Regional office
7-7003 Steeles Ave W., Toronto, ON M9W 0A2, Canada
7-7003 Steeles Ave W., Toronto, ON M9W 0A2, Canada
Jobs
≈ $21k – $43k per year (Estimated) • Hybrid • Full-Time • 5+ years exp • Pune
Python
Java
SQL
Cursor
Windsurf
Spark
LoRA
Model Context Protocol
Fine-tuning
Prompt Engineering
AI Agents
PEFT
QLoRA
Pandas
NumPy
LLM
RAG
Semantic Search
Semantic Search
Multi-Agent Systems
Tool Use
Machine Learning
DevOps
Git
AWS
Management
Agile
Apply
≈ $21k – $44k per year (Estimated) • Hybrid • 5+ years exp • Pune
Python
Spark
TensorFlow
PyTorch
Machine Learning
Management
Agile
Apply
