Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

KPMG India

Compare

3.5

based on 5.5k Reviews

163 KPMG India Jobs

Executive - Gen AI

KPMG India

3.5

based on 5.5k Reviews

2-4 years

₹ 3.6 - 14.5L/yr (AmbitionBox estimate)

Gurgaon / Gurugram

1 vacancy

Executive - Gen AI

KPMG India

posted 1d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python SQL Machine Learning Clinical Data Management Analytical Chemistry

+ 4 more

Job Description

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions
Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects Influence machine learning strategy for Digital programs and projects
Make solution recommendations that appropriately balance speed to market and analytical soundness
Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor
Develop analytical / modelling solutions using a variety of commercial and open-source tools (eg, Python, R, TensorFlow)
Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.
Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
Create algorithms to extract information from large, multiparametric data sets. Deploy algorithms to production to identify actionable insights from large databases.
Compare results from various methodologies and recommend optimal techniques.
Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.
Develop and embed automated processes for predictive model validation, deployment, and implementation
Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science
Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
Lead discussions at peer review and use interpersonal skills to positively influence decision making Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices Facilitate cross-geography sharing of new ideas, learnings, and best-practices

Required Qualifications

Bachelor of Science or Bachelor of Engineering at a minimum
2-4 years of work experience as a Data Scientist
A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
Advanced skills with statistical/programming software (eg, R, Python) and data querying languages (eg, SQL, Hadoop/Hive, Scala)
Good hands-on skills in both feature engineering and hyperparameter optimization
Experience producing high-quality code, tests, documentation
Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks
Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
Proficiency in statistical concepts and ML algorithms Good knowledge of Agile principles and process
Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
Self-motivated and a proactive problem solver who can work independently and in teams

Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token Management, Knowledge Graph, Vision APIs, Prompt Engineering

Good to have : AI Algorithms, Deep Learning,Computer Vision, Hallucination Control Mechanism, Responsible AI frameworks

Tech : Python, SQL, Docker, Versioning tool, Azure/AWS/GCP

Years Experience : 2-4 years (Software Engineering/ Data Scientist), Relevant Gen AI Experience (1 year)

B.tech/M.tech/M.sc/MCA

Employment Type: Full Time, Permanent

Read full job description