Get iimjobs data fast, 100% accurate and super detailed — jobs, companies, recruiters and courses. Try it free in the playground. 1,000 free calls/month.

Get a full job ad: description, skills, salary, applicant and view counts, recruiter and company ratings.

iimjobs job ID or any iimjobs job link.

**Examples:**
- ID: `1739531`
- URL: `https://www.iimjobs.com/j/amazon-head-sales-marketing-d2c-solutions-1739531`

Search 25K+ management jobs by keyword, skill, category, location, industry, experience and posting age.

Keywords: job title, company or skill. Leave empty to browse by `skill` or `category` instead (newest first; no filter at all = every open job).

**Example:** `product manager`

query

Skill tags as names or IDs from Skills or Autocomplete, comma-separated; any of them matches. Cannot be combined with `query` or `category`.

**Examples:**
- `Sales`
- `Product Management, Brand Management`
- `155`

skill

Job categories as IDs, slugs or names from Categories, comma-separated; any of them matches.

**Examples:**
- `banking-finance`
- `Sales & Marketing`
- `13,14`

location

Industries as names or IDs from Industries, comma-separated; any of them matches. Trending sectors such as `FinTech` and `B2B SaaS` work too.

**Examples:**
- `FinTech`
- `Banking / Financial Services / Broking`
- `2,t-1`

industry

Low end of your experience band, in years: jobs whose experience range overlaps the band match.

**Allowed values:** `0`-`50`

min_experience

High end of your experience band, in years.

**Allowed values:** `0`-`50`

max_experience

Only jobs posted in the last N days.

**Examples:** `1` (today), `7`, `30`

**Allowed values:** `1`-`365`

posted_within

Set `true` to let iimjobs' AI search read `query` as a sentence: `product manager fintech bangalore 5 years` becomes the title plus location, industry and experience filters. Filters you pass yourself win.

**Default:** `false`

**Allowed values:** `true`, `false`

smart_search

Page number. iimjobs serves the first 10,000 results of a listing, so `page` × `page_size` must stay within 10,000 (page 500 at the default size).

**Default:** `1`

**Allowed values:** `1`-`10000`

page

Number of jobs per page.

**Default:** `20`

**Allowed values:** `1`-`100`

page_size

Set `true` to return every job's full record: description, applicant counts, recruiter and full company profile. One extra lookup per job, so it is slower.

**Default:** `false`

**Allowed values:** `true`, `false`

include_details

Get full details for up to 10 jobs in one call. Jobs iimjobs no longer has are listed under `errors`.

Comma-separated iimjobs job IDs or job links (at most 10).

**Example:** `1739531,1736743,1740232`

jobs

Get the jobs iimjobs recommends as similar to a job, best match first.

Number of similar jobs to return.

**Default:** `20`

**Allowed values:** `1`-`99`

limit

Get iimjobs' Jobs for Her: roles whose recruiters prefer women candidates, newest first, with descriptions.

Page number.

**Default:** `1`

**Allowed values:** `1`-`10000`

Get a company profile: rating, reviews, benefits, size, sectors, diversity programme and open jobs.

Company ID (the `company.id` on any job), a company page slug or link, or a company name (the best match is used).

**Examples:**
- Name: `Amazon`
- ID: `126`
- Slug: `deloitte`
- URL: `https://www.iimjobs.com/deloitte-careers`

company

Set `false` to skip the company's first 15 open jobs.

**Default:** `true`

**Allowed values:** `true`, `false`

include_jobs

Get every open job a company has on iimjobs, with full descriptions (15 per page).

Find companies by name across the directory and live employers, or browse the directory (50 per page).

Part of a company name. Leave empty to browse the company directory.

**Example:** `icici`

Directory page number (browsing only: a name search returns one page).

**Default:** `1`

**Allowed values:** `1`-`200`

Robosoft Technologies

Cognizant

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at <a href="https://www.cognizant.com/in/en"/" target="_blank">www.cognizant.com</a>

Cognizant Technology Solutions

Honeywell Automation

Honeywell

Vakilsearch

Uni Cards

Codebase

YASH Technologies

The Glove

Vivriti Capital

Meraki Ventures

Pineaxe Technologies

Mattel Toys

Mckinsey

IPM India Wholesale Trading

Philip Morris

AtkinsRealis

CodeGlo

CECO Emtrol-Buell

Samniya Techsys

Automation Anywhere

Diviana

Get a recruiter profile: organisation, designation, activity dates, socials and the skills they hire for.

iimjobs recruiter ID or recruiter profile link.

**Examples:**
- ID: `310650`
- URL: `https://www.iimjobs.com/r/65-sibal-vertexcorp-com`

recruiter

eCommerce

Program Management

Project Management

IT Product Management

Analytics

Automation

Sales

Process Automation

Data Analytics

IT Project Management

Innovation

Artificial Intelligence

Key Account Management

B2B Sales

P&L Head

IT Program Management

Business Head

Online Product Management

IT Product Marketing

Karthikeyan Karunanidhi

Get the jobs a recruiter has open, newest first (20 per page).

Amazon Development Centre India

Amazon

Internet / Online / eCommerce

IT-Software / Software Services

Bangalore

Marketing

Sales Head

Marketing Head

Solutions Sales

Go To Market

Amazon - Head - Sales & Marketing - D2C Solutions

Internet/ Online Marketplaces

Chennai

Business Analysis

Process Excellence

Amazon - Program Manager - Analytics & Automation

Logistics / SCM / Freight / Shipping

Supply Chain

Logistics

Amazon - Senior Program Manager - WW Easy Ship

Hyderabad

Amazon - Senior Product Manager - Cross Border Platform

Retail

Category Management

Buying

Vendor Management

Amazon - Senior Category Manager - Local Shops Team

Data Modeling

Data Visualization

Data Warehousing

Data Management

Tableau

Power BI

Amazon - Business Analyst II

Amazon - Program Manager

AI Product Management

Product Roadmap

Consumer Internet

Amazon - Senior Product Manager

Search executive courses and online MBAs by keyword, category and format: fee, duration, institute.

Words in the course title, institute or tagline.

**Example:** `iim`

Job categories the course is filed under, as IDs, slugs or names from Categories, comma-separated.

**Examples:**
- `banking-finance`
- `GenAI`

Delivery mode, matched as part of the text.

**Examples:**
- `Online`
- `Blended`

delivery_method

Your years of work experience: only courses open to you are kept.

**Allowed values:** `0`-`50`

max_work_experience

Get a course in full: fee, duration, eligibility, curriculum, skills, accreditation and registration dates.

iimjobs course ID or course link.

**Examples:**
- ID: `2927`
- URL: `https://www.iimjobs.com/course/IIM-Lucknow-%7C-Executive-Programme-In-Artificial-Intelligence-For-Business-2927`

course

About Executive Programme in AI for Business:This is a cutting-edge business application oriented program for AI technologists, specialists and enthusiasts to expedite their AI implementation skills in the industry. Over a period of 9 months, participants gain a rigorous understanding of all possible machine learning and deep learning algorithms in the context of solving current and future real world business problems using AI.The programme provides an overview of various:<ul><li>Rigorous understanding of various machine learning algorithms (supervised and unsupervised learning) and deep learning algorithms (text, speech, image)</li><li class="">Foundational AI business applications (sentiment analysis, recommender systems, chatbots, audio and image processing)</li><li>Foundation of Gen AI, Implementation of GenAI applications on Cloud AI Models</li><li>AI change and project management techniques and tools (Agile, Scrum)</li><li>Industry specific AI use cases (Fintech and Supply chain)</li><li>Industry best practices in AI transformation (regulations, ethics and cyber risk)</li></ul>Program Outcomes<ul><li>Understand and appreciate the depth of AI's impact - emerging business models, disrupted business functions, predictive analytics methodologies, digital economy canvas.</li><li>Identify the most suitable machine learning or deep learning algorithms to solve specific business challenges, covering text, speech, and video.</li><li>Learn the inner workings of widely used machine learning and deep learning algorithms - from data to insights generation, and their interpretation.</li><li>Gain understanding of the foundational business applications using AI & ML such as sentiment analysis, recommender systems, chatbots, audio and image processing.</li><li>Acquire hands-on experience through project demos in real-world AI applications like heart disease prediction, product pricing, climate change analysis, etc.</li><li>Build Gen AI applications, chatbots, and bot frameworks on Cloud AI Models</li><li>Learn from successful AI implementation use cases in Fintech and Supply Chain, and apply them to your industry.</li><li>Adhere to industry practices regarding regulations, AI ethics, and cyber risk when deploying machine learning or deep learning algorithms.</li><li>Apply Agile Methodologies, Scrum project management, and change management principles for successful AI program delivery.</li><li>Develop strategies for AI product adoption, and effective management of AI transformation.</li></ul>

About Executive Programme in AI for Business:

This is a cutting-edge business application oriented program for AI technologists, specialists and enthusiasts to expedite their AI implementation skills in the industry. Over a period of 9 months, participants gain a rigorous understanding of all possible machine learning and deep learning algorithms in the context of solving current and future real world business problems using AI.

The programme provides an overview of various:
- Rigorous understanding of various machine learning algorithms (supervised and unsupervised learning) and deep learning algorithms (text, speech, image)
- Foundational AI business applications (sentiment analysis, recommender systems, chatbots, audio and image processing)
- Foundation of Gen AI, Implementation of GenAI applications on Cloud AI Models
- AI change and project management techniques and tools (Agile, Scrum)
- Industry specific AI use cases (Fintech and Supply chain)
- Industry best practices in AI transformation (regulations, ethics and cyber risk)

Program Outcomes
- Understand and appreciate the depth of AI's impact - emerging business models, disrupted business functions, predictive analytics methodologies, digital economy canvas.
- Identify the most suitable machine learning or deep learning algorithms to solve specific business challenges, covering text, speech, and video.
- Learn the inner workings of widely used machine learning and deep learning algorithms - from data to insights generation, and their interpretation.
- Gain understanding of the foundational business applications using AI & ML such as sentiment analysis, recommender systems, chatbots, audio and image processing.
- Acquire hands-on experience through project demos in real-world AI applications like heart disease prediction, product pricing, climate change analysis, etc.
- Build Gen AI applications, chatbots, and bot frameworks on Cloud AI Models
- Learn from successful AI implementation use cases in Fintech and Supply Chain, and apply them to your industry.
- Adhere to industry practices regarding regulations, AI ethics, and cyber risk when deploying machine learning or deep learning algorithms.
- Apply Agile Methodologies, Scrum project management, and change management principles for successful AI program delivery.
- Develop strategies for AI product adoption, and effective management of AI transformation.

Eligibility Criteria:

To be eligible, applicants must have a Bachelor's or Master's degree in Management, Computer
Science, Engineering, Mathematics, Statistics, Economics, or Science with a minimum of 50%
marks earned during graduation and 2 years of post-qualification experience.

Program Curriculum

AI/ML an Imperative for Digital Businesses

Module 1:
- The AI & ML landscape - Emerging Business Models
- Predictive Analytics Methodology
- Impact of AI technologies - Digital Economy Canvas
- Data Preparation for AI/ML - Imputation Methods

Fundamentals of Supervised Machine Learning

Module 2:
- Predictive Modelling using regression - Business scenarios / Best practices
- Building explainable models using CART (Non-Parametric)
- Predicting customer behavior (classification models) with less data
- Advance predictive models by using big data (Non-Parametric)

Understanding Unsupervised Machine Learning

Module 3:
- Customer behavior analysis using segmentation
- Market Basket Analysis
- Statistical methods to create implicit scoring factors (FA and PCA)

Introduction to Deep Learning Algorithms

Module 4:
- A walkthrough with neural networks and Deep Learning
- Advance techniques to get forecast of business KPIs (estimate of sales and demand)
- Science behind AI for speech processing
- How AI companies process text data
- Understanding how vision works

Practicing Machine Learning

Module 5:
- Heart Disease Prediction
- Product Pricing
- Climate Change Analysis
- Taxi Fare Prediction
- Targeted Marketing
- Vehicular Performance Prediction

Applications of AI / ML

Module 6:
- Sentiment Analysis
- AI for Chatbots, best practices and guidelines
- Recommender Systems
- Image processing, Audio

Frameworks for Delivering AI Solutions

Module 7:
- Agile Methodology
- Scrum - Jira - Project Management
- AI Project Life Cycle - Teams
- AI Model Deployment - Regulations - AI Ethics - Cyber Risk

Gen AI / AI in Cloud

Module 8:
- Build applications using Cloud AI models
- Building chatbots using bot frameworks
- Overview of GenAI & Foundational Models
- Implementing GenAI applications

AI in Practice

Module 9:
- AI in Financial Services - Fintech
- AI in Supply chain
- Building and driving the AI culture
- Leadership and Change Management for AI

Corporate Finance

Finance and Accounts

Public Relations

IT Compliance

Machine Learning

Advertising

IIM Lucknow | Executive Programme In Artificial Intelligence For Business

Get the search box's suggestions for a partial skill or role, each with its skill ID and live job count.

Partial skill or role name.

**Examples:**
- `product`
- `cred`

Number of suggestions.

**Default:** `10`

**Allowed values:** `1`-`50`

Product Analyst

Product Control

Product Development

Product Management

Product Marketing

List every skill tag with its live job count, by category: the values Search Jobs' `skill` accepts.

Only these job categories, as IDs, slugs or names from Categories, comma-separated.

**Example:** `banking-finance`

Part of a skill name.

**Example:** `credit`

Keep the top N skills per category by job count.

**Allowed values:** `1`-`1000`

List the 9 job categories with their IDs, slugs and links: the values `category` accepts.

List the 163 locations with IDs, plus groups like Metros and Delhi NCR: the values `location` accepts.