Lead ML Engineer

Visa AI as a Service (VAIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities privacy-enhancing computation and cloud-native platforms VAIaS automates the updates to data models and applications. Combined with strong AI governance VAIaS optimizes the performance scalability interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space learn fast and make big impacts Visa AI as a Service is an ideal place for you!

This position is for a Lead ML Engineer with solid development experience who will focus on creating new capabilities for Visa AI as a Service while maturing our code base and development processes. In this position you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams. Your strong technical leadership problem-solving abilities coding testing and debugging skills is just a start. You must be dedicated to filling product backlog and delivering production-ready code. You must be willing to go beyond the routine and prepared to do a little bit of everything.

You will be an integral part of the development team sometimes investigating new requirements and design and at times refactoring existing functionality for performance and maintainability but always working on ways to make us more efficient and provide better solutions to our end customers. The role is for a self-organized individual with knowledge of web application and web service development. The candidate will perform hands-on activities including design documentation development and test of new functionality. Candidate must be flexible and willing to switch tasks based on teams needs.
Essential Functions:

Collaborate with project team members (Product Managers Architects Analysts Software Engineers Project Managers etc.) to ensure development and implementation of new data driven business solutions.

Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements conform to the architectural vision and comply with all applicable standards. Responsibilities span all phases of solution development.

Collaborate with senior technical staff and PM to identify document plan contingency track and manage risks and issues until all are resolved

Present technical solutions capabilities considerations and features in business terms. Effectively communicate status issues and risks in a precise and timely manner.

Coaching and mentoring junior team members and evolving team talent pipeline.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.

Qualifications :

Basic Qualifications
10 or more years of work experience with a Bachelors Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD

Preferred Qualifications

• A minimum of 12 years of relevant professional experience with a bachelors degree at least 10 years with an advanced degree (such as a Masters MBA JD or MD) or 8 years with a PhD.
• Experience with UI technologies such as React /Angular/
• Proven track record in delivering robust and scalable solutions for Big Data applications.
• Proficient in one or more programming languages such as Rust Python Golang Java or C/C.
• Experience with Flink Spark NoSQL Kafka Kubernetes DevOps is highly desirable.
• Knowledge of web service standards and related patterns such as REST and gRPC.
• Demonstrated ability to implement low-latency distributed services using open standard technologies including streaming systems NoSQL and containers.
• Exposure to advanced domains like Machine Learning GEN AI Tools/technologies Big Data Distributed Systems Performance Engineering or Site Reliability Engineering (SRE).

Additional Information :

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Remote Work :

No

Employment Type :

Full-time