Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Jobs

Interviews

Home
>
Jobs in Chennai
>
Xoom
>
Manager, Machine Learning Engineering

Manager, Machine Learning Engineering

Xoom

2 - 5 years

8 - 12 Lacs

Chennai Bengaluru

Posted:2 weeks ago| Platform:

Apply

Skills Required

Computer science GCP Artificial Intelligence Diversity and Inclusion Machine learning Data processing Wellness Data quality Risk management Operations

Work Mode

Work from Office

Job Type

Full Time

Job Description

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary

What you need to know about the role
This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with business owners, data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Meet our team We are the Data Science team in the Risk Management team that bring innovative new solutions to leverage machine learning and artificial intelligence to automate operational reviews for fraud risk management. We strive to create a balance between innovation, regulatory compliance, managing fraud losses and improving customer experiences.

Job Description

Your day to day

Essential Responsibilities

Design, Develop and optimize machine learning models for various applications.
Preprocess and analyze large datasets to extract meaningful insights.
Deploy ML solutions into production environments using appropriate tools and frameworks.
Collaborate with cross-functional teams to integrate ML models into products and services.
Monitor and evaluate the performance of deployed models.
Collaborate with various stakeholders to drive the right adoption and understand changing business needs

People Management Roles

Oversee the team s capabilities, timely deliveries and execution
Guide and mentor the team through projects and to facilitate their career growth

What do you need to bring-

Minimum Qualifications

Minimum of 8 years of relevant work experience and a bachelor s degree or equivalent experience.
Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
Several years of experience in designing, implementing, and deploying machine learning models and scaling ML Systems

Preferred Qualification

Preferred Qualifications

MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelors degree
Experience in setting up & nurturing AI / ML teams.

Experience developing machine learning models at scale from inception to business impact and designing ML pipelines, including model versioning, model deployment, model testing, and monitoring.

Subsidiary

PayPal

Travel Percent

For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com .

Who We Are

Click Here to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com .

Belonging at PayPal

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

More Jobs at Xoom

Senior Engineer - Backend (Java)

Bengaluru

5 - 8 yrs

INR 5 - 9 Lacs

Senior Engineer - Backend (Java)

Chennai

10 - 15 yrs

INR 5 - 9 Lacs

Senior Engineer - Backend (Java)

Bengaluru

8 - 9 yrs

INR 5 - 9 Lacs

Senior Engineer - Backend (Java)

Bengaluru

8 - 9 yrs

INR 5 - 9 Lacs

MTS 1 Data Engineer

Chennai

5 - 8 yrs

INR 7 - 11 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Artificial Intelligence Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Skills

Practice coding challenges to boost your skills

Start Practicing Now

Xoom

Real Estate

San Jose

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Manager, Machine Learning Engineering