Salary Profiles
Company
Title
Experience
Annual Salary
School
Skills
Turing
Palo Alto
4.5yrs

Base: ₹42.0lakhs

Stocks: -

Bonus: -

CTC:₹42.0lakhs

Mcp Llmops Graphrag Mlops Fastapi Software Development (Show More) Custom Gpts Chatbot Development Large Language Model Operations (Llmops) Neo4j Retrieval-augmented Generation (Rag) Search And Retrieval Multi-agent Systems Crewai Algorithm Design Cohere Weaviate Reranking Semantic Search Annoyindex Deep Learning Pytorch Tensorflow Reinforcement Learning Cross-functional Team Leadership Artificial Intelligence (Ai) K-nearest Neighbors (Knn) Approximate Nearest Neighbors (Ann) Hierarchical Navigable Small World (Hnsw) Vector Databases Sparse Search, Dense Search And Hybrid Search Requirements Gathering Gemini Ai Agents Langgraph Langchain Rag Docker Streamlit Generativeai Large Language Model Web Development Forecasting Optical Character Recognition (Ocr) Systems Design Sampling Linear Models Dashboard Building Prediction Experimental Design Project Leadership Hyperparameter Tuning Google Analytics Data Visualization Market Research Chatgpt Data Analytics Interpersonal Skills Leadership Large Language Models (Llm) Prompt
WNS
Bengaluru
8.3yrs

Base: ₹32.8lakhs

Stocks: -

Bonus: ₹2.0lakhs

CTC:₹34.8lakhs

Mysql Architecture Vector Databases Teamwork Jupyter Technical Leadership (Show More) Statistical Analysis Linear Regression Optimization Technology Trends System Architecture Technology Leadership Leadership Computer Science Time Series Forecasting Software As A Service (Saas) Retrieval-augmented Generation (Rag) Code Review Regression Models Classification Presentations Presentation Skills Team Leadership Prompt Engineering Information Extraction Unstructured Data Bert (Language Model) Gpt-4 Gpt-3 Github Problem Solving Writing Generative Ai Data Ingestion Solution Architecture Mlops Azure Databricks Mlflow Dataiku Dss Ketonic H2o.ai Evidently Django Flask Pl/sql Microsoft Azure Chatgpt Large Language Models (Llm) Nginx Rest Apis Software Development Amazon Web Services (Aws) Technology Services Model Development Data Engineering Pandas Git Python Java C++ Artificial Intelligence Machine Learning Computer Vision Object-oriented Programming (Oop) Research Algorithms Data Structures Programming Data Analysis Shell Script
Accenture
Gurugram
Data Scientist (Manager)
9yrs

Base: ₹41.0lakhs

Stocks: -

Bonus: -

CTC:₹41.0lakhs

Vector Databases Ai Accountability Ai Reliability Deep Learning Prompt Engineering Eda (Show More) Named Entity Recognition (Ner) Topic Modeling Application Programming Interfaces (Api) Neuro-linguistic Programming (Nlp) Ai Explanability Business Analytics Data Visualization Chatgpt Ai Fairness Probability And Statistics Mathematics For Ai Data Aggregation From Conception To Completion Logistic Regression Feature Selection Case Studies Data Preparation Watsonx Agile Leadership Project Management Agile Application Development Scrum Direct Client Interaction Python Problem Solving Hypothesis Testing Analytical Skills Long Short-term Memory (Lstm) Mlflow Graph Databases Neo4j Large Language Models (Llm) Generative Ai Mlops Predictive Analytics Data Analytics Business Case Preparation Hadoop Ibm Db2 Apache Spark Machine Learning Image Processing Artificial Intelligence Algorithms Extract, Transform, Load (Etl) Data Science Sql Latex Linux Mysql Team Management Fintech Natural Language Processing (Nlp) Hive Statistical Modeli
Optum
Hyderabad
5.9yrs

Base: ₹33.2lakhs

Stocks: -

Bonus: -

CTC:₹33.2lakhs

IBM
Bengaluru
1.9yrs

Base: ₹18.7lakhs

Stocks: -

Bonus: ₹0.9lakhs

CTC:₹19.6lakhs

Functional Programming Debugging Software Design Fintech Amazon S3 Kafka-tools (Show More) Redis Database Applications Software Implementation Code Review Containerization Continuous Integration And Continuous Delivery (Ci/cd) Apache Kafka Nosql Rdbms High-level Design Service Development Infrastructure Management Digital Authentication Gin Llama Vector Databases Programming Concepts Large Language Models (Llm) Retrieval-augmented Generation (Rag) Postgresql Sql Mentoring Product Engineering Api Development Nginx Fastapi Algorithms Microservices Design Patterns Low-level Design Problem Solving Data Structures Machine Learning Flask Rest Apis Google Cloud Platform (Gcp) Design Computer Science Web Applications Troubleshooting Databases Application Programming Interfaces (Api) Git Programming Languages Amazon Web Services (Aws) Distributed Systems Object-oriented Programming (Oop) Software Development Programming Back-end Web Development Openshift Generative Ai Python Kubernetes Go Travis Ci Segment Docker
Daxa, Inc
Chhatrapati Sambhajinagar
8.8yrs

Base: ₹38.4lakhs

Stocks: ₹2.5lakhs

Bonus: -

CTC:₹40.9lakhs

6yrs

Base: ₹27.9lakhs

Stocks: -

Bonus: ₹3.9lakhs

CTC:₹31.8lakhs

NYX
Bengaluru
1yrs

Base: ₹10.2lakhs

Stocks: -

Bonus: -

CTC:₹10.2lakhs

8.1yrs

Base: ₹12.3lakhs

Stocks: -

Bonus: ₹5.7lakhs

CTC:₹18.0lakhs

WNS
Bengaluru
8.1yrs

Base: ₹25.4lakhs

Stocks: -

Bonus: ₹5.7lakhs

CTC:₹31.1lakhs

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Frequently asked questions
How much do Vector Databases employees make?

Employees who know Vector Databases earn an average of ₹32.4lakhs, mostly ranging from ₹30.0lakhs per year to ₹66.5lakhs per year based on 23 profiles. The top 10% of employees earn more than ₹42.8lakhs per year.

What is the average salary of Vector Databases?

Average salary of an employee who know Vector Databases is ₹32.4lakhs.

What is the highest salary offered who know Vector Databases?

Highest reported salary offered who know Vector Databases is ₹73.1lakhs. The top 10% of employees earn more than ₹42.8lakhs per year. The top 1% earn more than a whopping ₹66.5lakhs per year.

What are the most common skills required who know Vector Databases?

100% of employees have skills in vector databases . 0% also know python . 0% also know large language models (llm) .

What are the highest paying jobs who know Vector Databases?

The top 5 highest paying jobs who know Vector Databases with reported salaries are:

  • data scientist - ₹42.0lakhs per year

  • senior data scientist - ₹37.0lakhs per year

  • group manager data sciences - ₹33.0lakhs per year

What is the median salary offered who know Vector Databases?

The median salary approximately calculated from salary profiles measured so far is ₹32.4lakhs per year.

How is the age distributed among employees who know Vector Databases?

This group has a predominantly younger workforce. 52% of employees lie between 26-31 yrs . 30% of the employees fall in the age group of 21-26 yrs .

What qualifications do employees have who know Vector Databases?

17% hold a PostGraduate degree. 13% hold a Graduate degree.

Which schools do employees working who know Vector Databases went to?

35% of employees studied at Indian Institute of Technology . 13% studied at Government Engineering College .

Frequently asked questions
How much do Vector Databases employees make?

Employees who know Vector Databases earn an average of ₹32.4lakhs, mostly ranging from ₹30.0lakhs per year to ₹66.5lakhs per year based on 23 profiles. The top 10% of employees earn more than ₹42.8lakhs per year.

What is the average salary of Vector Databases?

Average salary of an employee who know Vector Databases is ₹32.4lakhs.

What is the highest salary offered who know Vector Databases?

Highest reported salary offered who know Vector Databases is ₹73.1lakhs. The top 10% of employees earn more than ₹42.8lakhs per year. The top 1% earn more than a whopping ₹66.5lakhs per year.

What are the most common skills required who know Vector Databases?

100% of employees have skills in vector databases . 0% also know python . 0% also know large language models (llm) .

What are the highest paying jobs who know Vector Databases?

The top 5 highest paying jobs who know Vector Databases with reported salaries are:

  • data scientist - ₹42.0lakhs per year

  • senior data scientist - ₹37.0lakhs per year

  • group manager data sciences - ₹33.0lakhs per year

What is the median salary offered who know Vector Databases?

The median salary approximately calculated from salary profiles measured so far is ₹32.4lakhs per year.

How is the age distributed among employees who know Vector Databases?

This group has a predominantly younger workforce. 52% of employees lie between 26-31 yrs . 30% of the employees fall in the age group of 21-26 yrs .

What qualifications do employees have who know Vector Databases?

17% hold a PostGraduate degree. 13% hold a Graduate degree.

Which schools do employees working who know Vector Databases went to?

35% of employees studied at Indian Institute of Technology . 13% studied at Government Engineering College .

Salary Brackets
Percentage
10-20 lakhs 10-20 lakhs
Percentage : 26
20-30 lakhs 20-30 lakhs
Percentage : 9
30-40 lakhs 30-40 lakhs
Percentage : 26
40-50 lakhs 40-50 lakhs
Percentage : 35
> 50 lakhs > 50 lakhs
Percentage : 4
Age Brackets
Percentage
21-26 yrs 21-26 yrs
Percentage : 30
26-31 yrs 26-31 yrs
Percentage : 52
31-36 yrs 31-36 yrs
Percentage : 9
36-41 yrs 36-41 yrs
Percentage : 9
Skills
Trending
vector databases
100 %
python
0 %
large language models (llm)
0 %
machine learning
0 %
retrieval augmented generation (rag)
0 %
amazon web services (aws)
0 %
docker
0 %
Schools
Top
Indian Institute of Technology
35 %
Government Engineering College
13 %
Bhavans Tripura Vidyamandir
9 %
Caltech
9 %
Kalinga Institute of Industrial Technology
9 %
COEP Technological University
4 %
Engineering College
4 %
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