Salary Profiles
Company
Title
Experience
Annual Salary
School
Skills
9.1yrs
BP
Pune
15yrs
ZS
Pune
4.5yrs

Base: ₹19.4lakhs

Stocks: -

Bonus: ₹1.4lakhs

CTC:₹20.8lakhs

0.8yrs

Base: ₹9.1lakhs

Stocks: -

Bonus: ₹1.1lakhs

CTC:₹10.2lakhs

7.2yrs

Base: ₹40.2lakhs

Stocks: -

Bonus: -

CTC:₹40.2lakhs

Data Science Computer Science Analytical Skills Databricks Products Databases Data Models (Show More) Representational State Transfer (Rest) Team Leadership Cloud Computing Data Integration Team Management Problem Solving Adfs Azure Devops Services Openai Api Architecture Data Engineering Azure Data Lake Continuous Integration And Continuous Delivery (Ci/cd) Data Pipelines Data Quality Rest Apis Pyspark Data Warehousing Airflow Extract, Transform, Load (Etl) Apache Kafka Spring Framework Data Modeling Telemetry Maven Spring Boot Elastic Stack (Elk) Python Apache Airflow Kubernetes Go Google Cloud Platform (Gcp) Mlops Azure Databricks Microsoft Azure Apache Spark Big Data Scala Machine Learning Data Structures Statistical Data Analysis Agile Methodologies Java Sql Mysql Hive Data Analytics
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9.9yrs

Base: ₹17.2lakhs

Stocks: -

Bonus: ₹5.1lakhs

CTC:₹22.3lakhs

0.2yrs

Base: ₹20.0lakhs

Stocks: ₹6.0lakhs

Bonus: ₹4.0lakhs

CTC:₹30.0lakhs

Deep Learning Retrieval-augmented Generation (Rag) Machine Learning Artificial Intelligence (Ai) Natural Language Processing (Nlp) Generative Ai (Show More) Large Language Models (Llm) Language Modeling Fine Tuning Application Programming Interfaces (Api) Python Tensorflow Pytorch Transformer Models Predictive Modeling Statistical Data Analysis Machine Learning Algorithms Mlops Scikit-learn Linux Mathematics Physics Data Engineering Pyspark Transfer Learning Logistic Regression Modeling Exploratory Data Analysis Extract, Transform, Load (Etl) Problem Solving Team Leadership Teamwork Communication Organization Skills Analytical Skills Big Data Analytics Jenkins Big Data Automation Software Design Cloudera Manager Hadoop Hdfs Hive Hiveql Apache Impala Sql Computer Science Object Oriented Design Data Structures Algorithms Postgresql Databases Flutter Dart Streamlit Opencv C++ C Front-end Development Web Development Marketing Autocad
BNY
Pune
3yrs

Base: ₹20.1lakhs

Stocks: ₹1.3lakhs

Bonus: ₹3.0lakhs

CTC:₹24.4lakhs

ZS
Pune
8.1yrs

Base: ₹28.3lakhs

Stocks: -

Bonus: ₹1.9lakhs

CTC:₹30.2lakhs

9.4yrs

Base: ₹29.6lakhs

Stocks: -

Bonus: ₹2.0lakhs

CTC:₹31.6lakhs

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Frequently asked questions
How much do Mlops Pune employees make?

Employees who know Mlops in Pune earn an average of ₹30.5lakhs, mostly ranging from ₹23.5lakhs per year to ₹54.9lakhs per year based on 14 profiles. The top 10% of employees earn more than ₹46.4lakhs per year.

What is the average salary of Mlops Pune?

Average salary of an employee who know Mlops in Pune is ₹30.5lakhs.

What is the median salary offered who know Mlops in Pune?

The median salary approximately calculated from salary profiles measured so far is ₹30.0lakhs per year.

How is the age distributed among employees who know Mlops in Pune?

43% of employees lie between 26-31 yrs . 29% of the employees fall in the age group of 31-36 yrs .

Frequently asked questions
How much do Mlops Pune employees make?

Employees who know Mlops in Pune earn an average of ₹30.5lakhs, mostly ranging from ₹23.5lakhs per year to ₹54.9lakhs per year based on 14 profiles. The top 10% of employees earn more than ₹46.4lakhs per year.

What is the average salary of Mlops Pune?

Average salary of an employee who know Mlops in Pune is ₹30.5lakhs.

What is the median salary offered who know Mlops in Pune?

The median salary approximately calculated from salary profiles measured so far is ₹30.0lakhs per year.

How is the age distributed among employees who know Mlops in Pune?

43% of employees lie between 26-31 yrs . 29% of the employees fall in the age group of 31-36 yrs .

Salary Brackets
10-20 lakhs: 14%20-30 lakhs: 29%30-40 lakhs: 29%40-50 lakhs: 21%> 50 lakhs: 7%
  • 10-20 lakhs
  • 20-30 lakhs
  • 30-40 lakhs
  • 40-50 lakhs
  • > 50 lakhs
Age Brackets
21-26 yrs: 14%26-31 yrs: 43%31-36 yrs: 29%36-41 yrs: 14%
  • 21-26 yrs
  • 26-31 yrs
  • 31-36 yrs
  • 36-41 yrs
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