Lead Artificial Intelligence/Machine Learning Engineer, Mastercard
Global payments technology company
Job no longer available
Global payments technology company
1001+ employees
Job no longer available
1001+ employees
Company mission
To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.
Role
Who you are
- For this team, MasterCard is seeking a Lead AI/ML Engineer who is passionate about implementation of AI/ML assets across platform (on premise, on cloud, hybrid)
- 5+ years of 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
- Experience in APIs and micro-service architectures
- Fundamental knowledge and hands-on experience with Kubernetes
- Hands-on experience with DataOps and MLOps - namely development, testing, deployment and monitoring of data and ML pipelines; using tools like MLFlow, KubeFlow, AirFlow or similar
- Experience with SQL and relational database systems like Oracle, PostgreSQL or MySQL
- Experience building large scalable and reliable enterprise technology platforms using Big Data open-source technologies such as Hadoop, Spark and Kafka
- Good knowledge and understanding of AI/ML model families, including neural net, decision trees, Bayesian models, deep learning algorithms(LSTM, CNN etc.)
- Proficiency with Python programming and machine learning libraries such as NumPy, Pandas, Scikit-learn, Tensorflow and/or PyTorch
- Ability to learn new technologies quickly and mentor Data Science team members in AI/ML domain
- Experience with Continuous Integration/Continuous Deployment (CI/CD) tools such as Jenkins
- Self-starter and self-motivated with the proven ability to deliver results in a fast-paced, high-energy environment
- Excellent communication/presentation skills
What the job involves
- 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
- The person would be working closely with Program Team as well as Data Science team
- Responsible for deploying modern and large scale end-to-end AI/ML solutions
- Design and implementation of Kubernetes operators and micro-services for orchestrating AI/ML workloads
- Work cross-functionally with data scientists, data engineer, and business stakeholders to design, develop, deploy, and integrate high-performance machine learning pipelines and data intensive workloads
- Take ownership of production systems with a focus on delivery, continuous integration, and automation of machine learning workloads
- Provide technical mentorship, guidance, and quality-focused code review to data scientists and ML engineers
Our take
Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.
As the economy has become more and more digitised, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.
The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitised payments world.
Steph
Company Specialist
Insights
Company
Company benefits
- Gym membership
- Share purchase options
- Extra holiday purchase optional
- Work from home opportunities
- Health insurance
Company values
- Trust - integrity, respect, openness
- Agility - urgency and value through innovation
- Partnership - working as one team for the benefit of all
- Initiative - taking bold and thoughtful actions
Company HQ
Purchase, Harrison, NY
Articles
Leadership
Michael Miebach
(CEO, not founder)Has served in a variety of roles at the company, including President and CPO. Currently Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.
People progressing
Joined as VP in 2008, promoted 4 times in 11 years to their current position of Executive Vice President.
Salary benchmarks
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