Intuit is hiring for a FRESHER entry level Machine Learning Engineer role in India

Position:

• Machine Learning Engineer 1

• Entry level role focused on applied machine learning and AI systems

• Designed for early career professionals and fresh graduates

• Individual contributor role within an AI focused engineering team

• Hands on role involving real world data and production systems

• Opportunity to work on customer facing AI driven products

• Role emphasizes learning, experimentation, and applied research

• Exposure to modern AI techniques including generative models

• Suitable for candidates aiming to build strong foundations in ML engineering

• Positioned within a fast growing AI initiative at the organization

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Company:

• Intuit

• Global financial technology organization

• Known for building software that supports financial decision making

• Creator of products used by millions across the world

• Strong presence in consumer finance and small business tools

• Deep investment in artificial intelligence and data driven systems

• Culture focused on innovation, learning, and customer impact

• Organization encourages experimentation and ownership

• Strong emphasis on ethical and responsible AI development

• Long term vision centered on enabling financial prosperity

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Location:

• Bangalore

• India

• Major technology hub with strong engineering ecosystem

• Access to diverse talent and innovation driven teams

• Office supports collaboration and hybrid work practices

• Location offers exposure to global teams and projects

• Strong learning environment with mentorship opportunities

• Part of Intuit’s growing India engineering presence

• Infrastructure designed to support advanced AI development

• Close collaboration with global engineering teams

• Workplace supports both in person and flexible working

• Ideal for early career engineers looking for growth

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Job type:

• Full time

• Permanent employment opportunity

• Long term career growth focused role

• Includes structured compensation and benefits

• Eligibility for performance based rewards

• Includes access to learning and development programs

• Designed for continuous skill building

• Stable role with growth focused responsibilities

• Integrated into core product engineering teams

• Opportunity for internal mobility over time

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Job mode:

• Hybrid

• Combination of office based and remote work

• Encourages in person collaboration when required

• Supports flexibility in work routines

• Balanced approach to productivity and connection

• Designed to support focused individual work

• Enables collaboration with distributed teams

• Promotes work life balance

• Allows adjustment based on project needs

• Reflects modern engineering work culture

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Job requisition id:

• 18684

• Used for internal tracking and application reference

• Helps candidates and recruiters align on role details

• Required for official application processes

• Identifies the specific opening within the system

• Useful for follow up and communication

• Ensures accurate role matching

• Part of standardized hiring workflow

• Associated with Machine Learning Engineer 1 role

• Should be referenced during application

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Years of experience:

• 0 to 3 years

• Suitable for fresh graduates

• Open to candidates with early industry exposure

• Internship experience considered relevant

• Academic projects valued

• Emphasis on skills rather than tenure

• Learning mindset prioritized

• Practical understanding of ML concepts expected

• Exposure to real world data is helpful

• 1 year of PERSONAL PROJECT experience counts 

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Company description:

• Intuit operates as a financial technology platform serving individuals and businesses

• The organization supports millions of users across different financial needs

• Products focus on tax preparation, accounting, payments, marketing, and credit

• Technology is used to simplify complex financial decisions

• Artificial intelligence plays a central role in product development

• Data driven insights help users manage money with confidence

• The company believes financial tools should be accessible to everyone

• Strong commitment to customer trust and data security

• Teams work at scale with large and diverse datasets

• Innovation is encouraged through experimentation and learning

• Employees are supported through inclusive and ethical practices

• Equal opportunity principles guide hiring and growth

• Investment in engineering talent is a strategic priority

• Internal mobility allows career exploration across roles

• Culture values curiosity, ownership, and collaboration

• Continuous improvement is embedded in daily work

• Employees contribute to products with real world impact

• Organization blends technology with human centered design

• Focus on long term value creation for customers

• AI initiatives aim to responsibly enhance financial outcomes

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Profile overview:

• This role is part of an advanced AI and machine learning initiative

• The engineer will work closely with AI scientists and researchers

• Focus is on building scalable and reliable ML systems

• Role involves transforming raw data into usable ML inputs

• Candidates will help design and improve data pipelines

• Emphasis on applying theory to production environments

• Opportunity to work with modern ML frameworks

• Exposure to experimentation and evaluation methods

• Role supports learning through collaboration

• Engineers contribute to customer facing features

• Work involves problem solving using data and algorithms

• Models built here influence real financial decisions

• Team encourages curiosity and thoughtful experimentation

• Engineers gain exposure to large scale datasets

• Projects span predictive and generative AI use cases

• Continuous feedback helps improve models and systems

• Role balances research concepts with engineering execution

• Strong mentorship environment supports early career growth

• Engineers learn how to deploy models responsibly

• Focus on measurable impact through testing and analysis

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Qualifications:

• Bachelor’s or Master’s degree in computer science or related field

• Strong foundation in programming concepts

• Familiarity with Python and common data libraries

• Understanding of basic machine learning techniques

• Exposure to classification and regression methods

• Knowledge of data preprocessing and feature creation

• Understanding of model training and validation concepts

• Familiarity with SQL for data querying

• Awareness of data structures and algorithms

• Basic understanding of software engineering workflows

• Experience with version control systems

• Ability to write clean and readable code

• Familiarity with numerical and statistical concepts

• Understanding of linear algebra and probability basics

• Exposure to ML frameworks such as TensorFlow or PyTorch

• Academic projects in data science or ML are valued

• Ability to learn new tools quickly

• Strong problem solving mindset

• Interest in applied AI systems

• Willingness to collaborate across teams

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Additional info:

• Role offers competitive compensation aligned with performance

• Includes eligibility for bonus and equity programs

• Benefits support physical and mental well being

• Learning resources provided for continuous growth

• Career paths allow movement across teams and roles

• Engineers can grow vertically or explore lateral roles

• Organization values fairness and pay equity

• Regular reviews ensure compensation alignment

• Hybrid work supports flexibility and collaboration

• Inclusive culture welcomes diverse backgrounds

• Support provided for reasonable accommodations

• Ethical AI practices are strongly emphasized

• Engineers are encouraged to experiment responsibly

• Access to large scale real world datasets

• Opportunity to work on globally used products

• Strong focus on mentorship and feedback

• Clear progression paths within engineering

• Work contributes directly to customer success

• Encouragement to build long term careers

• Environment supports both learning and impact

Please click here to apply.