Lead Machine Learning Engineer

Our Purpose

We work 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. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Lead Machine Learning Engineer

Our Purpose

We work 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. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Lead Machine Learning Engineer

Our Purpose – We work 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. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Job Description

Responsible for developing, deploying, and monitoring Data Science solutions that involve Machine Learning, Deep Learning, and other AI techniques.

Responsibilities

Build and Deploy AI solutions that should work at scale.

Build appropriate data pipelines to support model deployments.

Optimize large models for efficiency and scalability.

Monitor the AI models and applications that are deployed.

Lead and own everything around Machine Learning Operations.

Prepare appropriate documentation of the model deployment and processes.

Conduct root cause analysis of data, pipeline and other processes.

Participate in code reviews, model review, testing and debugging for high quality product.

Conduct data analysis for different use-cases.

Conduct data extraction, data analysis, data cleaning, preparation, modeling, and evaluation

Support building prototypes, and proof-of-concepts.

Collaborate with internal teams and other teams across the company

Expert understanding of data pipeline building (Snowflake, Azure, Python)

All about You

At least 5 to 7 years of proven experience in developing and deploying Machine learning and Deep learning solutions.

Deep understanding of different Machine learning, Deep learning, and AI algorithms.

Expert understanding of Cloud technology.

Decent experience with SQL

Handling data responsibly by maintaining data governance, privacy, and ring-fencing standards

Curious, Critical thinker, good hacking skills and scientific reasoning.

Strong familiarity with Software engineering practices.

Not afraid to ask questions and propose new ideas

Skills

Python, R Programming

ML Frameworks (Scikit learn) and Deep Learning Framework (TensorFlow, PyTorch)

SQL, SAP HANA, Hadoop, Snowflake databases

Linux, Azure environment, Azure Machine Learning, and Databricks

Corporate 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.

Corporate 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.