About the role
KPMG India is hiring Machine Learning Engineer Interns to design, build, and deploy production-grade machine learning solutions for real-world business challenges. Interns will work on model development, feature engineering, data analysis, and ML deployment while collaborating with experienced AI and engineering teams. 📩 HOW TO APPLY: Apply through the Google Form linked below.
Responsibilities
- Build and train machine learning models
- Perform data preprocessing and feature engineering
- Evaluate and optimize model performance
- Work on real-world datasets and business problems
- Deploy ML models using APIs or cloud platforms
Requirements
- Strong understanding of Machine Learning algorithms
- Proficiency in Python, NumPy, Pandas, and Scikit-learn
- Basic knowledge of TensorFlow or PyTorch
- Understanding of data structures and statistics
- Familiarity with SQL and data handling
- Strong analytical and problem-solving skills
Benefits
- ₹80,000 monthly stipend
- Hands-on experience with production ML systems
- Exposure to enterprise AI and Machine Learning projects
- Mentorship from experienced AI professionals
- Opportunity to solve real-world business challenges
Required Skills
Frequently Asked Questions
What is the salary for Machine Learning Engineer Intern?
The listed salary for Machine Learning Engineer Intern at KPMG India is ₹80,000/month.
Where is this Machine Learning Engineer Intern role located?
This position is based in Gurugram, Haryana, India (On-site).
What experience is required for Machine Learning Engineer Intern?
Candidates are expected to have Freshers of experience for this role.
How do I apply for Machine Learning Engineer Intern at KPMG India?
Apply directly through the application link on this HireDoor job page for Machine Learning Engineer Intern at KPMG India.
What are the key benefits for Machine Learning Engineer Intern?
Key benefits include: ₹80,000 monthly stipend; Hands-on experience with production ML systems; Exposure to enterprise AI and Machine Learning projects; Mentorship from experienced AI professionals; Opportunity to solve real-world business challenges.