AmbitionBox
Search
Jobs
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
All Filters
1084 KPMG India Jobs
Executive - AI/ML
KPMG India
posted 4hr ago
Job Role Insights
Flexible timing
Key skills for the job
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 makingProvide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practicesFacilitate cross-geography sharing of new ideas, learnings, and best-practices
Required Qualifications
Bachelor of Science or Bachelor of Engineering at a minimum.
2+ 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, documentationExperience 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
B.Tech/M.Tech/M.sc/MCA
Employment Type: Full Time, Permanent
Read full job descriptionKPMG India Interview Questions & Tips
Prepare for KPMG India Executive roles with real interview advice
What people at KPMG India are saying
Rating based on 70 Executive
reviews
Anonymous · Finance & Accounting
in Kolkata
Likes
Hybrid and Paid Leaves
- Job security - Good
Dislikes
No work life balance
Executive salary at KPMG India
reported by
770
employees
₹4
L/yr - ₹13
L/yr
84%
more
than the average Executive Salary in India
View more details
What KPMG India employees are saying about work life
based on 5.4k employees
Flexible timing
Monday to Friday
No travel
Day Shift
KPMG India Benefits
View more benefits
Compare KPMG India with
Cognizant
Compare
PwC
Compare
Capgemini
Compare
Compare
TCS
Compare
HCLTech
Compare
Deloitte
Compare
Ernst & Young
Compare
Accenture
Compare
Bain & Company
Compare
McKinsey & Company
Compare
BCG
Compare
IBM
Compare
KPMG Global Services
Compare
ZS
Compare
Mercer
Compare
Willis Towers Watson
Compare
Guidehouse
Compare
WSP
Compare
Mott MacDonald
Compare
Similar Jobs for you
Assistant Manager - Info Sec and Tech Risk Assessments
10-15 Yrs
Bangalore / Bengaluru
Share an Interview