Job Description
Our PurposeWe 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.
Job TitleLead Software Position
Mastercard is a global technology company. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making payment and data 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
ML Engineering team leads AI/ML deployments across Mastercard platforms. The team is responsible for planning the implementation of solutions, choosing the right technologies, and evaluating the evolution of the architecture as the needs change.
For this team, MasterCard is seeking a Lead Engineer who is passionate about implementation of AI/ML assets across platform (on premise, on cloud, hybrid). The person would be working closely with Program Team as well as Data Science team.
Responsibilities -
Primary responsibility in this role is to build and expand knowledge graph, as well as deriving value from the knowledge graph via various forms of graph inference, node and edge embeddings, and other techniques.
Responsible for modern graph-based innovation deployment for AI/Machine Learning solutions, products.
Other key responsibilities would include providing service to other engineering teams across organization, cross functions for AI/ML model deployments or serving.
Experiences
5+ years of experience working in AI/ML technology domain or similar.
Good knowledge of Machine learning bias-variance trade off, exploration/exploitationand understanding of various model families, including neural net, decision trees, Bayesian models, deep learning algorithms (LSTM, CNN etc.)
Good knowledge of deep learning for NLP and/or Transformer models
Experience with the use of node embeddings and other applications of ML to knowledge graphs
Experience with Graph and related technologies, e.g. TigerGraph, Ontotext GraphDB, Neo4j etc.
Experience with ML frameworks and libraries like TensorFlow, Keras, Pytorch, Kubeflow
Ability to learn new technologies quickly and mentor Data Science team members in AI/ML domain.
Proven track record of delivering and willingness to roll up sleeves to get the job done.
Excellent communication/presentation skills
Due to COVID-19, most of our employees are working from home. Weve implemented a virtual hiring process and continue to interview candidates by phone or video and are onboarding new hires remotely. We value the safety of each member of our community because we know were all in this together.
Mastercard is an inclusive Equal Employment Opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
If you require accommodations or assistance to complete the online application process, please contact [Confidential Information] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Employement Category:
Employement Type: Full time
Industry: Full time
Functional Area: IT
Role Category: IT
Role/Responsibilies: Lead Software Position
Contact Details:
Company: Mastercard
Location(s): Noida, Gurugram