Sr ML Engineer

Visas Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the worlds most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants 15k Financial Institutions and billions of everyday people. While working with us youll get to work on complex distributed systems and tackle massive scale problems centered on new payment flows business and data solutions cyber security and B2C platforms. 

The Opportunity:

We are looking for a versatile curious and energetic Senior Machine Learning Engineer to join our team of passionate and dedicated engineers. We are the backbone for Data Engineering and Machine Learning developments at Visa and we thrive on solving complex challenges on a global scale! As a Senior Machine Learning Engineer you will be an integral part of a multi-functional development team inventing designing building and testing products that reach a truly global customer base.

You will face big challenges and question the status quo changing the way data products are developed at Visa! Come join us and see your efforts shape the digital future of payments.

The Work Itself:

The Senior ML Engineer as a part of our Generative AI team will play a multifaceted role in the design development and deployment of our Large Language Model (LLM) applications. Key responsibilities will include creating applications based on the Retrieval-Augmented Generation (RAG) framework developing efficient inferencing algorithms and fine-tuning the LLM to cater to various applications.

This role will also involve leveraging various machine learning stacks to enhance system efficiency researching new techniques to advance our LLM applications and collaborating with cross-functional teams within the organization. In addition the engineer will be responsible for documenting processes and workflows and sharing insights with the team.

This position requires a solid understanding of AI and machine learning principles robust problem-solving skills and the ability to thrive in a fast-paced dynamic environment.

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 including:

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.

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

Qualifications :

Basic qualifications
2 or more years of work experience with a Bachelors Degree or an Advanced
Degree (e.g. Masters MBA JD MD or PhD)

Preferred Qualifications
3 or more years of work experience with a Bachelors Degree or more than 2 years
of work experience with an Advanced Degree (e.g. Masters MBA JD MD)
Exposure to leading-edge areas such as Generative AI Machine Learning Big
Data Distributed Systems or SRE.
Experience in at least one of the following: Python Golang Java or C/C
Familiarity with web service standards and related patterns (REST gRPC)
Experience implementing solutions for low-latency distributed services using
open standard technologies.

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