Join As Data Scientist II At Mastercard | Apply Now
Job Overview:
| Company | Mastercard |
|---|---|
| Job Role | Data Scientist II |
| Job ID | R-290428 |
| Work Location | Gurgaon, India |
| Work Mode | Office |
| Job Type | Full-Time |
| Experience | 3–4 years |
| Qualification | B.Tech / M.Tech / STEM Degree |
| Salary | Not disclosed |
| Careers Page | www.mastercard.com |
Skills: Python SQL Databricks PySpark MLflow AWS PyTorch Docker Kubernetes Generative AI
Mastercard is hiring Data Scientist II in Gurgaon for AI and GenAI development
Mastercard is inviting applications for the Data Scientist II role based in Gurgaon. The position focuses on building and productionizing enterprise-grade AI and Generative AI solutions.
Who Can Apply?
- Candidates with a Bachelor's or Master's degree in Computer Science, Information Technology, or a related STEM field.
- Applicants with 3 to 4 years of experience in AI/ML engineering, software engineering, data science, or a related field.
- Professionals skilled in Python, SQL, object-oriented programming, and API development.
- Individuals with hands-on experience in Databricks, PySpark, MLflow, and AWS cloud environments.
About Mastercard:
Mastercard powers economies and empowers people in over 200 countries and territories worldwide. The company builds sustainable and secure digital payment solutions to help individuals, businesses, and governments reach their potential.
What You Will Do as Data Scientist II
- AI/ML Application Development: Design, develop, test, and maintain scalable AI/ML applications, APIs, and reusable engineering components.
- Model Fine-Tuning: Fine-tune and evaluate foundation models using techniques such as LoRA, QLoRA, PEFT, and supervised fine-tuning.
- RAG and GenAI Solutions: Build RAG solutions, embeddings workflows, vector-search applications, and AI agents.
- ML Pipelines and MLOps: Create end-to-end ML pipelines for data preparation, training, evaluation, deployment, monitoring, and retraining using Databricks and MLflow.
Skills Required:
Programming and Core. Strong foundation in Python, SQL, object-oriented programming, data structures, and API development.
Cloud and MLOps Tools. Hands-on expertise with Databricks, Spark/PySpark, MLflow, AWS cloud infrastructure, Docker, and Kubernetes.
AI and Machine Learning. Experience with PyTorch, Hugging Face, model fine-tuning, RAG solutions, and vector search applications.
Basic Qualifications:
- 3-4 years of experience in AI/ML engineering, software engineering, or data science
- Bachelor's or Master's degree in Computer Science, IT, or STEM field
- Proficiency in Python, SQL, and Git
Preferred Qualifications:
- Experience with enterprise GenAI and financial services or payments data
- Familiarity with LangChain, LangGraph, and production-grade RAG systems
How to Prepare
Our tips, based only on what the listing asks for:
- Brush up on advanced Python, SQL, data structures, and object-oriented programming concepts.
- Practice fine-tuning foundation models using techniques like LoRA, QLoRA, and PEFT.
- Gain hands-on familiarity with Databricks, PySpark, MLflow, and AWS container deployments.
- Understand RAG solutions, vector-search applications, and AI agent workflows.
What the Listing Does Not Mention
- No salary or compensation package is stated in the job listing.
- No application end date or deadline is provided.
- Work mode specifics such as hybrid or remote flexibility are not explicitly mentioned outside of the Gurgaon location.
How to Apply: Mastercard
- Go to the official Mastercard careers page using the apply link.
- Review the job description and requirements thoroughly.
- Click on apply and submit your application with your updated resume.
Build the future of digital payments with Mastercard by applying for this exciting AI role today.
Important Links:
| Events | Links |
|---|---|
| Apply Now | Click Here |
| Official Careers Page | Click Here |
Frequently Asked Questions:
What qualification is required?
Required qualification: B.Tech / M.Tech / STEM Degree. See the eligibility section above for details.
Can freshers apply for this role?
No, 3 to 4 years of experience in AI/ML engineering, software engineering, or data science is required.
Where is the job location?
The job is located in Gurgaon, India.
What is the job type?
It is a full-time corporate position.
Stay safe: Mastercard does not charge any fee to apply or to give an interview. If anyone asks you for money for a job, a referral or an offer letter, it is a scam.
Source: the official Mastercard careers listing for this role.
Related Jobs You May Like
- Join As Software Engineer II At Mastercard | Apply Now
- Join As Specialist, Product Management – Data Analytics At Mastercard | Apply Now
- Join As SEND Continuum – Data WARE HOUSE At Mastercard | Apply Now
- Join As Data Engineer II At Mastercard | Apply Now
Disclaimer: This job post is for information only. All applications and questions should go to Mastercard through the official process.
About us:
CareerFinder.co.in: At CareerFinder.co.in, we are committed to connecting individuals with top-notch job opportunities seamlessly. Explore endless possibilities for your career growth and success with us.