Machine Learning Engineer Job at Intuit Bangalore: AI and GenAI Role (2026)

The Machine Learning Engineer Job at Intuit is an exciting opportunity for engineers who want to build next-generation AI and machine learning systems that impact millions of users globally.

This role is based in Bangalore, India, and is part of Intuit Foresight, a core AI group focused on AI-native applications, large-scale ML systems, and generative AI.

Machine Learning Engineer Job at Intuit


📑 Table of Contents

  1. About Intuit
  2. Job Overview
  3. Key Responsibilities
  4. Skills and Technologies You Will Work With
  5. Eligibility and Qualifications
  6. Compensation and Benefits
  7. Career Growth at Intuit
  8. How to Apply

1️⃣ About Intuit

Intuit is a global financial technology platform serving nearly 100 million customers worldwide through products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp.

Intuit’s mission is to power prosperity by building innovative, data-driven, and AI-enabled financial products for individuals and businesses.

Machine Learning Engineer Job at Intuit


2️⃣ Job Overview

Role: Machine Learning Engineer
Category: Software Engineering
Company: Intuit
Location: Bangalore, India
Job Type: Full Time
Experience Required: Minimum 1 Year
Job ID: 18684

In this role, you will work closely with AI scientists and ML engineers to design, build, deploy, and evaluate advanced machine learning and generative AI systems.


Machine Learning Engineer Job at Intuit

3️⃣ Key Responsibilities

As a Machine Learning Engineer at Intuit, you will:

🔹 Data Engineering and Preparation

  • Discover and onboard new data sources
  • Clean, transform, and prepare data for machine learning workflows
  • Build scalable data pipelines for model training and deployment

🔹 Machine Learning Development

  • Collaborate with AI scientists to:
    • Create and refine features
    • Build and deploy ML models
  • Implement and improve algorithms across:
    • Machine learning
    • Deep learning
    • Generative AI

🔹 Model Deployment and Evaluation

  • Design pipelines for training, testing, and deploying models
  • Run A B experiments to measure model impact
  • Perform statistical analysis to evaluate performance and outcomes

🔹 Advanced AI Systems

  • Work on systems involving:
    • Large language models
    • Reinforcement learning
    • Human preference learning
    • Forecasting and optimization
  • Apply experimentation frameworks and AI evaluation techniques

Machine Learning Engineer Job at Intuit

4️⃣ Skills and Technologies You Will Work With

You will gain hands-on experience with:

  • Programming Languages: Python, R
  • ML and AI Frameworks: Scikit-learn, PyTorch, TensorFlow, Keras
  • Data Tools: Pandas, NumPy, Spark
  • Natural Language Processing: NLTK
  • Databases and Querying: SQL
  • Version Control: Git and GitHub
  • ML Techniques: Classification, regression, clustering
  • AI Concepts: Model training, validation, and evaluation

5️⃣ Eligibility and Qualifications

🎓 Education

  • Bachelor’s, Master’s, or PhD in:
    • Computer Science
    • Related technical fields
  • Or equivalent practical experience

🧠 Experience

  • Minimum 1 year of experience in relevant ML or AI technologies

💡 Core Knowledge

  • Strong understanding of:
    • Data structures and algorithms
    • Software engineering fundamentals
    • Machine learning principles
  • Solid foundation in:
    • Linear algebra
    • Calculus
    • Probability and statistics

Machine Learning Engineer Job at Intuit


6️⃣ Compensation and Benefits

Intuit offers a competitive pay-for-performance compensation package, including:

✔ Competitive base salary
✔ Performance-based cash bonus
✔ Equity rewards
✔ Comprehensive benefits and programs
✔ Fair pay practices across gender and ethnicity

Compensation is based on skills, experience, role scope, and location.

Machine Learning Engineer Job at Intuit


7️⃣ Career Growth at Intuit

Intuit strongly supports career mobility and long-term growth.

📈 Engineering Career Path

  • Software Engineer 1 and 2
  • Senior Software Engineer
  • Staff Software Engineer
  • Senior Staff Software Engineer
  • Principal Software Engineer
  • Distinguished Software Engineer

You can grow vertically or laterally, exploring different products, teams, and technologies.


8️⃣ How to Apply

📌 Apply through Intuit’s official careers portal
📄 Highlight the following in your resume:

  • Machine learning projects
  • AI or data pipelines
  • Model deployment and experimentation experience
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