Machine Learning Engineer

UiPath1 weeks ago

Location

Jaipur

Type

Full Time

Level

Mid

Role

ML Engineer

Posted

Mar 6, 2026

Full TimeMid

The role

Summary

UiPath is seeking a Machine Learning Engineer to join their AI team in Jaipur, focusing on designing and implementing cutting-edge AI applications for robotic process automation. The role requires 4+ years of experience in machine learning with strong Python skills and expertise in cloud platforms.

What you'll do

AI Application Development: Design, build, maintain, and implement AI applications and AI tooling as part of a collaborative team

Machine Learning Model Deployment: Deploy machine learning models and solutions to production environments supporting diverse customer base

Technical Research: Conduct independent technical research tasks to advance machine learning capabilities and explore new technologies

Cross-functional Collaboration: Collaborate actively with ML Engineers, Product Managers, and stakeholders to deliver AI-powered solutions

Customer Implementation Support: Communicate directly with customers during delivery and implementation phases of AI projects

Platform Enhancement: Provide feedback to help shape the future of the UiPath AI platform and contribute to product roadmap

Code Quality Assurance: Participate in peer code reviews, unit testing, and integration testing to maintain high code quality standards

What we look for

Technical

Machine Learning Expertise4+ years of experience in machine learning, artificial intelligence, statistics, optimization, or operations research

Python ProgrammingProven experience with Python programming for data science and machine learning applications

Cloud Platform ExperienceExposure to major cloud platforms including AWS, Microsoft Azure, or Google Cloud Platform

Database TechnologiesExperience with SQL databases and/or NoSQL or big data technologies

Software Engineering PracticesFamiliarity with CI/CD, unit testing, integration testing, peer code reviews, and modular code design

Education

Technical DegreeBachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or related technical field

Experience

Scientific Software DevelopmentExperience developing scientific software as part of a multidisciplinary team environment

Customer-Centric Product DevelopmentExperience designing and/or building customer-centric software products

Generative AI ExperiencePreferred experience with Generative AI technologies and applications

Skills

Required skills

Machine Learning4+ years of experience in machine learning, AI, statistics, or optimization

Python ProgrammingStrong programming skills in Python for data science and ML applications

Cloud PlatformsExperience with AWS, Microsoft Azure, or Google Cloud Platform

Database ManagementSQL knowledge and experience with NoSQL or big data technologies

Software EngineeringFamiliarity with CI/CD, testing practices, and modular code design

Nice to have

Generative AIExperience with Generative AI technologies and applications

Operations ResearchBackground in operations research and optimization problems

Customer-facing ExperienceExperience communicating technical concepts to customers and stakeholders

Product DevelopmentExperience in building customer-centric software products

Big Data TechnologiesExperience with big data processing frameworks and tools

Compensation & benefits

Benefits

Flexible Work Arrangements

Hybrid work options with flexibility in when and where work gets done

Inclusive Workplace

Diverse and inclusive environment providing equal opportunities regardless of background

Career Growth Opportunities

Huge potential to tailor role to preferred career path as team grows, especially in inventory and pricing domains

Reasonable Accommodations

UiPath provides reasonable accommodations for candidates and employees on request

Privacy Protection

Company respects applicants' and employees' privacy rights with comprehensive privacy policies

Interview process

1
Application Review — Initial screening of resume and application materials by recruiting team
2
Phone/Video Screening — Initial conversation with recruiter or hiring manager to discuss background and role fit
3
Technical Assessment — Machine learning coding challenge or take-home assignment focusing on Python and ML algorithms
4
Technical Interview — Deep dive into machine learning concepts, system design, and past project experiences
5
Team Interview — Meeting with potential team members to assess collaboration skills and cultural fit
6
Final Interview — Discussion with senior leadership about career goals and long-term vision