Mlops Bengaluru Salaries

28 verified profiles
Last updated on December 21, 2024
Average salary is ₹46.2lakhs.

Employees who know Mlops in Bengaluru earn an average of ₹46.2lakhs, mostly ranging from ₹23.2lakhs to ₹259.7lakhs based on 28 profiles.

👨‍💻 Male ₹36lakhs Male
Average Salary : ₹ 36 lakhs
👩‍💻 Female ₹16lakhs Female
Average Salary : ₹ 16 lakhs
For every ₹100 paid to men, women are paid ₹44
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Salary Profiles
Company
Title
Experience
Annual Salary
School
Skills
Jai Kisan
Bengaluru
3.4yrs

Base: ₹15.5lakhs

Stocks: -

Bonus: -

CTC:₹15.5lakhs

Amazon Relational Database Service (Rds) Amazon S3 Aws Lambda Airflow Mlops Amazon Web Services (Aws) (Show More) Langchain Llamaindex Vectordb Genai Rag Large Language Models (Llm) Transformers Postgresql Microsoft Azure Gen-ai Code Review Problem Solving Word Embeddings Long Short-term Memory (Lstm) Image Processing Image Segmentation Convolutional Neural Networks (Cnn) Cuda Gpu Computer Vision Opencv Tensorflow Software Development Google Cloud Platform (Gcp) Artificial Neural Networks Neural Networks Deep Learning Dbt Sql Snowflake Cloud Postman Api Mongodb Natural Language Processing (Nlp) Data Science Time Series Analysis Tableau Mysql Machine Learning C++ Data Structures And Algorithms Python Microsoft Excel Originlab Management Data Structures Data Analytics Statistical Data Analysis Research Project Management Analytical Skills Microsoft Office Matlab Time Management Cascading Style Sheets (Css) Html Poetry Art Communication Project Libre Depthmax
Shell
Bengaluru
5.4yrs

Base: ₹20.3lakhs

Stocks: -

Bonus: ₹3.2lakhs

CTC:₹23.5lakhs

Optimising Snowflake Cloud Data Preparation Attention To Detail Experimental Design Statistical Concepts (Show More) Pandas Azure Data Lake Hypothesis Testing Oil And Gas Problem Solving Azure Sql Stakeholder Management Responsible Ai Supply Chain Optimization Risk Analytics Credit Analysis Generative Ai Large Language Models (Llm) Predictive Analytics Predictive Maintenance Presentation Skills Azure Data Factory Azure Databricks Numpy Dataiku Dss Artificial Neural Networks Inventory Optimization Scikit-learn Data Acquisition Mlops Microsoft Azure Chatbot Development Stakeholder Engagement Product Analytics Machine Learning Algorithms Deep Learning Data Modeling Python Sql Demand Forecasting Machine Learning Data Analysis Analytics Data Science Business Intelligence (Bi) Microsoft Power Bi Data Analytics Natural Language Processing (Nlp) Applied Machine Learning Openai
11.1yrs
Statistical Analysis Pattern Recognition Prototyping Easily Adaptable Techno-functional Data Governance (Show More) Large Language Model Operations (Llmops) Software Deployment High-level Design Product Lifecycle Management Technical Product Management Mlflow Technical Architecture Llama Bert (Language Model) Transformers Chatgpt Gpt-4 Amazon Bedrock Langchain Generative Ai Tools Generative Ai Large Language Models (Llm) Architecture Software Lifecycle Software Design Distributed Systems Model Selection Model Validation Feature Engineering Databricks Data Analytics Machine Learning Python Statistical Modeling Data Structures And Algorithms Computer Science Agile Methodologies Neural Networks Problem Solving Product Development Predictive Modeling Mathematics Pytorch Applied Mathematics Data Visualization C++ Mlops Microsoft Excel Keras Devops Analytics Data Structures Gremlin Query Language Graph Databases Graphql Google Cloud Platform (Gcp) Computer Vision Deep Learning Amazon Web Services (Aws) Microsoft Azure Deep Neu
Blue Yonder
Bengaluru
5.5yrs

Base: ₹32.1lakhs

Stocks: ₹3.9lakhs

Bonus: ₹1.9lakhs

CTC:₹37.9lakhs

Cognizant
Bengaluru
9yrs

Base: ₹21.6lakhs

Stocks: -

Bonus: -

CTC:₹21.6lakhs

Enterprise Storage 3par Amazon Route 53 Networking Github Actions Openshift (Show More) Wiz Kubernetes Checkmarx Trivy Aws Identity And Access Management (Aws Iam) Amazon Ecs Ibm Urbancode Deploy (Udeploy) Jfrog Software Very-large-scale Integration (Vlsi) Vlsi Cad Cadence Virtuoso Vertex Ai Google Cloud Platform (Gcp) Iam, Vpc Gke, Gcs, Gce Cloud Run Mlops Apache Spark Pyspark Cloud Composer Gcp Security Violations Gcp Data Science Gcp Data Engineer Gcp Machine Learning Github Prometheus 12 Factor App Pivotal Cloud Foundry (Pcf) Cloud Firestore Google Cloud Platform (Gcp) Site Reliability Engineering Amazon Web Services (Aws) Disaster Recovery San Cloud Computing High Availability Unix Redhat Linux Python Linux Amazon Web Services Ansible Docker Jenkins Git Terraform Grafana Aws Organizational Leadership French Amazon Ec2 General Data Protection Regulation (Gdpr) It Automation Nexus Devops Netapp Fas 6000 English
11yrs
Large Language Model Operations (Llmops) Software Deployment High-level Design Product Lifecycle Management Technical Product Management Mlflow (Show More) Technical Architecture Llama Bert (Language Model) Transformers Chatgpt Gpt-4 Amazon Bedrock Langchain Generative Ai Tools Generative Ai Large Language Models (Llm) Architecture Software Lifecycle Software Design Distributed Systems Model Selection Model Validation Feature Engineering Databricks Data Analytics Machine Learning Python Statistical Modeling Data Structures And Algorithms Computer Science Agile Methodologies Neural Networks Problem Solving Product Development Predictive Modeling Mathematics Pytorch Applied Mathematics Data Visualization C++ Mlops Microsoft Excel Keras Devops Analytics Data Structures Gremlin Query Language Graph Databases Graphql Google Cloud Platform (Gcp) Computer Vision Deep Learning Amazon Web Services (Aws) Microsoft Azure Deep Neural Networks (Dnn) Kubernetes Natural Language Processing (Nlp) Data Mining Statistics Statistical Data
WNS
Bengaluru
8.1yrs

Base: ₹25.2lakhs

Stocks: -

Bonus: ₹5.7lakhs

CTC:₹30.9lakhs

Problem Solving Writing Generative Ai Data Ingestion Solution Architecture Mlops (Show More) 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 Scripting Start-ups Statistics Data Visualization Data Science Deep Learning Sql Microsoft Office Linux Windows Hp Quicktest Professional (Qtp) Keras Microsoft Excel Microsoft Powerpoint Microsoft Word Embedded Systems Operating Systems Databases Digital Image Processing Scikit-learn High Performance Computing (Hpc) Opencv Neural Networks Programmers Computer Architecture Reinforcement Learning Unsupervised Learning Natural Language Processing (Nlp) Tensorflow Pytorch Artificial Neural Networks
Shell
Bengaluru
5.5yrs

Base: ₹20.1lakhs

Stocks: -

Bonus: ₹5.7lakhs

CTC:₹25.8lakhs

9yrs

Base: ₹40.9lakhs

Stocks: -

Bonus: ₹2.4lakhs

CTC:₹43.3lakhs

11.5yrs

Base: ₹19.3lakhs

Stocks: -

Bonus: ₹1.9lakhs

CTC:₹21.2lakhs

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Frequently asked questions
How much do Mlops Bengaluru employees make?

Employees who know Mlops in Bengaluru earn an average of ₹46.2lakhs, mostly ranging from ₹23.2lakhs per year to ₹259.7lakhs per year based on 28 profiles. The top 10% of employees earn more than ₹60.8lakhs per year.

What is the average salary of Mlops Bengaluru?

Average salary of an employee who know Mlops in Bengaluru is ₹46.2lakhs.

What is the highest salary offered who know Mlops in Bengaluru?

Highest reported salary offered who know Mlops in Bengaluru is ₹314.7lakhs. The top 10% of employees earn more than ₹60.8lakhs per year. The top 1% earn more than a whopping ₹259.7lakhs per year.

What are the most common skills required who know Mlops in Bengaluru?

100% of employees have skills in mlops . 0% also know python . 0% also know machine learning .

What are the highest paying jobs who know Mlops in Bengaluru?

The top 5 highest paying jobs who know Mlops in Bengaluru with reported salaries are:

  • machine learning engineer - ₹40.0lakhs per year

  • lead data scientist - ₹26.0lakhs per year

  • associate data scientist - ₹25.0lakhs per year

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

The median salary approximately calculated from salary profiles measured so far is ₹33.8lakhs per year.

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

This group has a predominantly younger workforce. 57% of employees lie between 26-31 yrs . 21% of the employees fall in the age group of 31-36 yrs .

What qualifications do employees have who know Mlops in Bengaluru?

Which schools do employees working who know Mlops in Bengaluru went to?

14% of employees studied at Indian Institute of Technology . 7% studied at Government Engineering College .

Frequently asked questions
How much do Mlops Bengaluru employees make?

Employees who know Mlops in Bengaluru earn an average of ₹46.2lakhs, mostly ranging from ₹23.2lakhs per year to ₹259.7lakhs per year based on 28 profiles. The top 10% of employees earn more than ₹60.8lakhs per year.

What is the average salary of Mlops Bengaluru?

Average salary of an employee who know Mlops in Bengaluru is ₹46.2lakhs.

What is the highest salary offered who know Mlops in Bengaluru?

Highest reported salary offered who know Mlops in Bengaluru is ₹314.7lakhs. The top 10% of employees earn more than ₹60.8lakhs per year. The top 1% earn more than a whopping ₹259.7lakhs per year.

What are the most common skills required who know Mlops in Bengaluru?

100% of employees have skills in mlops . 0% also know python . 0% also know machine learning .

What are the highest paying jobs who know Mlops in Bengaluru?

The top 5 highest paying jobs who know Mlops in Bengaluru with reported salaries are:

  • machine learning engineer - ₹40.0lakhs per year

  • lead data scientist - ₹26.0lakhs per year

  • associate data scientist - ₹25.0lakhs per year

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

The median salary approximately calculated from salary profiles measured so far is ₹33.8lakhs per year.

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

This group has a predominantly younger workforce. 57% of employees lie between 26-31 yrs . 21% of the employees fall in the age group of 31-36 yrs .

What qualifications do employees have who know Mlops in Bengaluru?

Which schools do employees working who know Mlops in Bengaluru went to?

14% of employees studied at Indian Institute of Technology . 7% studied at Government Engineering College .

Salary Brackets
Percentage
10-20 lakhs 10-20 lakhs
Percentage : 18
20-30 lakhs 20-30 lakhs
Percentage : 25
30-40 lakhs 30-40 lakhs
Percentage : 21
40-50 lakhs 40-50 lakhs
Percentage : 14
> 50 lakhs > 50 lakhs
Percentage : 21
Age Brackets
Percentage
21-26 yrs 21-26 yrs
Percentage : 4
26-31 yrs 26-31 yrs
Percentage : 57
31-36 yrs 31-36 yrs
Percentage : 21
36-41 yrs 36-41 yrs
Percentage : 11
> 41 yrs > 41 yrs
Percentage : 4
Skills
Trending
mlops
100 %
python
0 %
machine learning
0 %
deep learning
0 %
data science
0 %
sql
0 %
amazon web services (aws)
0 %
Schools
Top
Indian Institute of Technology
14 %
Government Engineering College
7 %
Illinois Institute of Technology
7 %
International Institute of Information Technology Bangalore
7 %
Lakshmi Narain College of Technology
7 %
Panimalar Institute Of Technology
7 %
Amrita School of Engineering
4 %
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