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Mastercard
Mastercard

Global payments and technology company

Senior Data Scientist (MLOPS/LLMOps)

직무MLOps
경력시니어급
위치Pune, India
근무오피스 출근
고용정규직
게시3개월 전
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복지 및 혜택

교육비 지원

스톡옵션

무제한 휴가

육아휴직

원격 근무

필수 스킬

TensorFlow

Airflow

Python

About Us

At Mastercard, we're powering economies and empowering people, building ​ a sustainable economy where everyone prospers.

Size: 10000+ employees
Industry: Consulting, Financial Services, Technology, Fintech

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Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Senior Data Scientist (MLOPS/LLMOps)

Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Overview:

Data Science and Artificial Intelligence represents the next phase in the advancement of our digital transformation and is a significant evolution for Master Card. We continue to evolve our Data Science and AI strategy to support aggressive growth plans, and we are seeking a Senior Software Engineer to join the AI/ML Workbench team. This position requires a working knowledge of what it takes to stand up on-prem platforms and services (such as Kubernetes) and the importance of secure design and data privacy.

Role
In this role you will be working with technologies and concepts such as Kubernetes, Kubeflow, Python, Golang, software defined networking, GPU compute, data privacy to support delivery of AI/ML tooling and MLOPS services to our customers.

Work you'll do:

  • Act as a trusted engineer on internal strategic initiatives by implementing objective, practical and relevant solutions while also building organizational partnerships and networks to ensure comprehensive solutions are developed with input from appropriate resources.
  • The senior cloud engineer will implement standards for supported hosting platforms.
  • Implement hosting requirements and infrastructure build plans.
  • Create topology diagrams for applications and cloud platforms.
  • Implement innovative solutions meeting current and future business requirements.
  • Implement, document, publish and governance of cloud platform hosting standards.

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  • Will work in the evaluation of new cloud technologies and platforms• Implement integration strategies and recommended design solutions.
  • Will contribute in the development of cloud driven hosting models leveraging private & hybrid clouds, evaluation, implementation IaaS and PaaS solutions to help deliver infrastructure at the pace of development needs• Knowledge of cloud, container, and micro services architectures.
  • Plan, organize, and control multiple responsibilities to achieve project objectives; technically guide projects through to completion.Desired Skills:Platform engineering skills• Have Experience with Kubernetes platform technologies. Red Hat Openshift , Helm, Logging & MonitoringMLOPS experience would be a plus Python ML, Spark, Jupytor notebook, Data Science Pipeline etc.
  • Exceptional communication skills and the ability to communicate appropriately at all levels of the organization.
  • Has skills to orchestrate release workflows and pipelines, and apply standardized pipelines via APIs to achieve CI and CD using industry standard tools (e.g., Jenkins, AWS/Azure pipelines, XL Release, others).
  • Excellent influencing and reasoning skills; good at conflict resolution and consensus building.
  • Proficient in developing enterprise solutions.
  • Experience in IaaS and PaaS implementations covering monitoring, configuration management, and orchestration.
  • Knowledge of web concepts, infrastructure technologies and tools.
  • Demonstrated experience working on projects that span multiple IT functions where analysis of systems or data requires an in-depth evaluation of complex business processes, system processes, and industry standards.
  • Experience working across a matrixed environment• Firewalls/Security Groups• DNS Routing• VM Configuration (v Sphere, ESXi)• Security Administration• Auto-Scaling, Containerization, Application Load balancers, etc.
  • Cost Management on Cloud infrastructure• Serverless architectures• Cloud storage management• Infrastructure as code (Terraform)• Logging, Monitoring, Alerting, Tracing sizing and tuning Required:
  • Bachelor's degree required• Cloud Architect experience• hands on Cloud Engineering experience• Must have experience with on-premise cloud architecture, development, Engineering & DevOps• GO / Python Development Nice to have MLOps understanding .
  • Nice to have CKA, CKAD, Open Shift EX280/Ex380Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard's security policies and practices;
  • Ensure the confidentiality and integrity of the information being accessed;
  • Report any suspected information security violation or breach, and
  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Client-provided location(s): Pune, India

Job ID: Mastercard-22331_R-257866

Employment Type: OTHER

Posted: 2025-09-10T19:26:23
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Perks and Benefits

Health and Wellness

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • Short-Term Disability
  • Long-Term Disability
  • FSA
  • FSA With Employer Contribution
  • HSA
  • HSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Pet Insurance
  • Mental Health Benefits
  • Virtual Fitness Classes
  • Health Reimbursement Account

Parental Benefits

  • Birth Parent or Maternity Leave
  • Non-Birth Parent or Paternity Leave
  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources
  • On-site/Nearby Childcare
  • Adoption Leave

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Commuter Benefits Program
  • Casual Dress
  • Happy Hours
  • Snacks
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events
  • Some Meals Provided

Vacation and Time Off

  • Paid Vacation
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence
  • Volunteer Time Off

Financial and Retirement

  • 401(K) With Company Matching
  • Performance Bonus
  • Relocation Assistance
  • Financial Counseling
  • Stock Purchase Program
  • 401(K)
  • Company Equity

Professional Development

  • Tuition Reimbursement
  • Promote From Within
  • Mentor Program
  • Access to Online Courses
  • Lunch and Learns
  • Internship Program
  • Work Visa Sponsorship
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Shadowing Opportunities

Diversity and Inclusion

Employee Resource Groups (ERG)

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Mastercard 소개

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

직원 수

Purchase

본사 위치

$360B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

2.8

보상

4.1

문화

4.2

커리어

3.4

경영진

3.1

72%

지인 추천률

장점

Great team culture and supportive colleagues

Excellent benefits and compensation

Training and development opportunities

단점

Work-life balance challenges and long hours

High pressure and stress during peak times

Management issues and lack of direction

연봉 정보

51개 데이터

Junior/L3

Director

Junior/L3 · Data Engineer

5개 리포트

$137,800

총 연봉

기본급

$106,000

주식

-

보너스

-

$107,900

$166,918

면접 후기

후기 3개

난이도

3.3

/ 5

소요 기간

14-28주

합격률

33%

경험

긍정 33%

보통 34%

부정 33%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Behavioral Interview

5

Super Day/Final Round

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience