Sr. ML Engineer

Visa•Austin, TX

2h•Hybrid

About The Position

Visa Technology & Operations LLC, a Visa Inc. company, needs a Sr. ML Engineer (multiple openings) in Austin, TX To: Architect, design, build, develop, test, and/or implement software systems and/or applications. Conduct business and technical analysis, code reviews and unit testing, and implement and produce technical documentation of solutions for new development, system enhancements, and production support. Design, develop and implement modifications and corrections to existing software, including the development of debugging routines. Serve as an integral part of the Data Science product development team, investigate new requirements, and design and refactor existing functionality for performance and maintainability. Collaborate with project team members (Product Managers, Architects, Analysts, Developers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions. Contribute in delivery of high-quality solutions that conform to requirements and the architectural vision and comply with all applicable standards. Engage in requirements definition and clarification in collaboration with Business to ensure completeness and common understanding; deep understanding of the business needs is important. Facilitate design reviews to provide input on functional requirements, product designs, schedules, or potential problems. Facilitate code reviews with team members and third-party vendors. Review and assess impact of proposed scope changes on assigned deliverables. Work with other engineering teams to facilitate a common approach to continuous integration that includes build automation, test automation, and deployment automation. Collaborate with senior technical staff and PM to identify, document, plan contingency, and 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. Position reports to the Austin, Texas office and may allow for partial telecommuting.

Requirements

Employer will accept a Master's degree in Computer Science, Computer Engineering, Information systems or related field and 2 years of experience in the job offered or in a Sr. ML Engineer-related occupation.
Knowledge of Creational, Structural, Behavioral and Concurrency and understanding of ML algorithms (XGBoost, KNN, SVM, LSTM, Transformers, PCA and other deep learning models)
Statistical computer programs for Machine Learning, Deep learning and natural language processing – Python, Tensorflow, SkLearn, SOLAR, SAS, MatLab, CUDA and GPU Acceleration
Development of generic fraud detection systems using GANs, GNNs, DBSCAN clustering
Pandas, NumPy, and SQL, as well as Matplotlib and Seaborn
Bigdata technology stack: Hadoop and MapReduce, Spark, Pig, Impala, Kafka
ML cloud services using AWS, Azure or GCP
OWASP, static/dynamic analysis, and common security tools
Oracle, MySQL, HBase, Cassandra, Hive, MongoDB
Development utilizing Java/J2EE/JavaScripts and in using Java Web Application framework including Spring, Hibernate and Data JPA
Web services standards and related technologies (XML, JSON, Rest, and SOAP)

Responsibilities

Architect, design, build, develop, test, and/or implement software systems and/or applications.
Conduct business and technical analysis, code reviews and unit testing, and implement and produce technical documentation of solutions for new development, system enhancements, and production support.
Design, develop and implement modifications and corrections to existing software, including the development of debugging routines.
Serve as an integral part of the Data Science product development team, investigate new requirements, and design and refactor existing functionality for performance and maintainability.
Collaborate with project team members (Product Managers, Architects, Analysts, Developers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
Contribute in delivery of high-quality solutions that conform to requirements and the architectural vision and comply with all applicable standards.
Engage in requirements definition and clarification in collaboration with Business to ensure completeness and common understanding; deep understanding of the business needs is important.
Facilitate design reviews to provide input on functional requirements, product designs, schedules, or potential problems.
Facilitate code reviews with team members and third-party vendors.
Review and assess impact of proposed scope changes on assigned deliverables.
Work with other engineering teams to facilitate a common approach to continuous integration that includes build automation, test automation, and deployment automation.
Collaborate with senior technical staff and PM to identify, document, plan contingency, and 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.