Gradient
gradient.ru
Actively hiring
Cleaning & Household Products
Cosmetics & Makeup
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
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Overview
Gradient is a Russian manufacturer and distributor of cosmetics, perfumes and household chemicals. The company was founded in 1991 as the Russian consumer goods market began to develop, and today invests in integrated business planning, ERP systems and AI solutions. The company is headquartered in Moscow, Russia.
News
Gradient AI Delivers Major Renewal Analytics Upgrade With New Capabilities for Group Health Customers and Stakeholders - AOL
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Universality of Gradient Descent Neural Network Training
Abstract page for arXiv paper 2007.13664: Universality of Gradient Descent Neural Network Training
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What else do people draw on gradient.horse?
Since gradient.horse went online in January 2026, six months have passed, and more than 600 000 horses (and non-horses) were drawn. There are now more horses on gradient.horse than in the wild.The image model I trained to filter out vandalism works very w
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(iterate think thoughts): The Hidden Elegance of Gradient Noise
Dmitri's blog about programming, Clojure, and software development
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Brad Woods Digital Garden
How to create an organic gradient animation using a WebGL shader.
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Gradient Google icon redesign rolls out on iPhone and web U
Following our report last month, Google is beginning to roll out its gradient icon redesign for Workspace apps.
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Why the gradient is a list of partial derivatives Michał Prządka - Blog
Building the gradient formula from scratch using a ski-slope picture, with minimal calculus assumed.
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Tech stack
Technologies named in job postings at Gradient over the last 12 months, by layer, with the share of postings for each.
Technologies in use
60
Postings analysed
9
Stack modernity
89/100AI adopter
Languages
1C
Python
SQL
Java
Frameworks & libraries
LangChain
LangGraph
DeepEval
FastAPI
Databases
MS SQL
Milvus
Pinecone
PostgreSQL
Cloud & platforms
Airflow
Azure
Dify
GCP
AI & ML
LLM
AWQ
LoRA
PEFT
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Full Gradient tech stack
60 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
64/100
Growing
Open positions
3
3 opened / 2 closed in 30 days
Median time-to-fill
16 days
faster than 62% of the market
ATS activity
Every ~1 days
10/27/2026
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.
Field & Service
30% ▲
AI/ML
20%
Data Science
10% ▲
Analytics
10% ▼
Communications
10% ▲
Enterprise Apps
10% ▼
Activity Timeline
Added PostgreSQL to stack
Oct 2026
Added ETL/ELT to stack
Oct 2026
Added Airflow to stack
Oct 2026
Added TensorFlow to stack
Oct 2026
Added Scikit-learn to stack
Oct 2026
Added PyTorch to stack
Oct 2026
Added Pandas to stack
Oct 2026
Added NumPy to stack
Oct 2026
Added Machine Learning to stack
Oct 2026
Added Keras to stack
Oct 2026
Added Java to stack
Oct 2026
Added GCP to stack
Oct 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Moscow
Moscow
Russia
HQ
2026 © www.gradient.ru Все права защищены.
3 open roles 10 posted in 90 days 67% engineering 10-50 est. staff
hires for AI/ML, Data Science, Communications
Москва, Ленинградский проспект, д. 72, корп.1, 4 этаж (БЦ «Алкон»)
Jobs
≈ $22k – $57k per year (Estimated) · Hybrid · Moscow
Python
SQL
PostgreSQL
MS SQL
AI/ML
Airflow
DevOps
Git
Analytics
ETL/ELT
Apply
≈ $45k – $115k per year (Estimated) · Hybrid · 3+ years exp · Moscow
Python
Java
SQL
Scikit-learn
TensorFlow
Pandas
NumPy
Keras
PyTorch
LLM
Machine Learning
DevOps
GCP
Azure
Apply