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Principal Machine Learning Engineer

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Mastercard

11d ago

  • Job
    Full-time
    Senior & Expert Level
  • Data
    Software Engineering
  • Dublin
  • Quick Apply

AI generated summary

  • You need 8-10 years in AI/ML, experience with K8S, ML frameworks (TensorFlow, PyTorch), enterprise architecture, cloud technologies, and strong communication skills.
  • You will design AI/ML architecture, enhance Kubernetes frameworks, accelerate modern deployments, and collaborate across teams to ensure quality AI/ML model delivery.

Requirements

  • 8-10-year experience working in AI/ML technology domain or similar.
  • Experience in building and deploying AI/ML models in enterprise production environments/large scale projects with modern light weight design (API, Microservices etc.)
  • Hands on experience in standing up K8S based AI/ML platform as well as working with workloads inside Kubernetes environment is required.
  • Good knowledge of Machine learning —bias-variance trade off, exploration/exploitation—and understanding of various model families, including neural net, decision trees, Bayesian models, deep learning algorithms.
  • Experience with ML frameworks and libraries like TensorFlow, Keras, Pytoch, Kubeflow etc.
  • Prior experience with Enterprise AI/ML Architecture pillars– BDAT
  • Ability to learn new technologies quickly and mentor other team members in AI/ML domain.
  • Proven track record of delivering and willingness to roll up sleeves to get the job done.
  • Current with industry trends on On-premise or Cloud native deployments.
  • Proficiency with cloud technologies (IaaS, PaaS, serverless technology) micro-service design, CI/CD, DevOps.
  • Excellent communication/presentation skills

Responsibilities

  • Responsible for presenting AI/ML architecture design/details to Data Science, Program, Product and Architect group.
  • Responsible to advance, improve, stand-up AI/ML framework over K8S based platform with architect and engineering groups.
  • Responsible for accelerating modern architecture-based development or deployment of AI/Machine Learning solutions using light weight stack and scaled version of modelling techniques.
  • Provide service to other engineering teams across organization, cross functions to deliver quality architecture for AI/ML model deployments or serving.

FAQs

What is the primary purpose of the Principal Machine Learning Engineer position at Mastercard?

The primary purpose is to lead the implementation of AI/ML solutions across Mastercard platforms, ensuring that transactions are safe, simple, smart, and accessible while fostering an inclusive digital economy.

What experience is required for this role?

Candidates should have 8-10 years of experience in the AI/ML technology domain or a similar field, including deploying AI/ML models in large-scale enterprise environments.

What technologies should candidates be proficient in?

Candidates should have hands-on experience with Kubernetes (K8S) platforms, machine learning frameworks such as TensorFlow, Keras, PyTorch, and be knowledgeable about cloud technologies, micro-service design, and DevOps practices.

Is there a specific educational background required for this position?

While the job description doesn't specify a mandatory educational background, relevant experience in AI/ML technologies and a strong understanding of the subject are critical.

What are the key responsibilities of the Principal Machine Learning Engineer?

Key responsibilities include presenting AI/ML architecture designs, advancing AI/ML frameworks on K8S platforms, accelerating modern architecture development for AI/ML solutions, and providing services to other engineering teams across the organization.

Will the Principal Machine Learning Engineer collaborate with other teams?

Yes, the role involves close collaboration with Product, Program, and Data Science teams to effectively implement AI/ML solutions.

What skills are necessary for effective communication in this role?

Excellent communication and presentation skills are necessary to effectively convey AI/ML architecture details and collaborate across various teams.

How important is it to stay current with industry trends in this position?

It is very important, as candidates are expected to be current with industry trends related to on-premise and cloud-native deployments.

What is Mastercard’s approach to corporate security responsibility?

Mastercard emphasizes the importance of adhering to security policies, ensuring confidentiality and integrity of information, and reporting any suspected breaches, as part of their corporate security responsibility.

Are there mentoring opportunities in this role?

Yes, the role includes the opportunity to mentor other team members in the AI/ML domain, aiding their learning and development in cutting-edge technologies.

Mastercard

Connecting Everyone to Priceless Possibilities

Consulting
Industry
10,001+
Employees
1966
Founded Year

Mission & Purpose

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. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.