Visa Technology & Operations LLC, a Visa Inc. company, needs a Machine Learning Engineer – Sr. Consultant level (multiple openings) in Austin, TX to:

Develop and maintain critical risk and fraud-detection applications and services, including idea generation, architecture, design, development, and testing.
Design, implement, and manage machine learning-based security solutions to prevent customer attacks, ensuring continuous performance monitoring and issue mitigation.
Continuously iterate on machine learning models to enhance precision and recall, optimizing them to meet performance criteria in terms of accuracy and latency.
Lead the end-to-end development process to deliver high-quality solutions that meet specifications, align with the architectural vision, and adhere to all applicable standards, covering all phases of solution development.
Collaborate with project team members to develop and implement new data-driven AI/ML-based business solutions, working with senior technical staff and Project Managers to identify, document, plan, track, and manage risks and issues.
Establish data governance and data management frameworks to efficiently organize and operationalize machine learning pipelines.
Construct ETL pipelines using technologies like Spark, Python, HIVE, or Scala to process transaction and account-level data and standardize data fields from diverse sources.
Experiment with and develop custom algorithms using state-of-the-art techniques for modeling and scoring, leveraging machine learning, data mining, and statistical methodologies.
Communicate status, issues, and risks in a detailed and timely manner to relevant stakeholders.
Present technical solutions in business terms to non-technical stakeholders.
Provide coaching and mentoring to junior team members to enhance their technical skills and professional development.
Drive the development effort end-to-end, collaborating closely with senior technical staff and Project Managers to ensure successful project delivery.
Position reports to the Austin, Texas office and may allow for partial telecommuting.