The Visa Knowledge Management Library Service is a new initiative within the BI&A Pillar of our Data & AI organization. As a Sr. Machine Learning Engineer, you will have a rare opportunity to influence Visa’s AI/ML and Generative AI systems, driving transformation through technology. You'll play a key role in developing next-generation solutions, powering strategic initiatives, and staying ahead of the competition by embracing the latest advancements in Generative AI.
Key Responsibilities
- Develop AI-driven solutions. Design and build platforms, applications, and solutions powered by machine learning to tackle complex business challenges and optimize product performance.
- Write high-quality code. Create efficient, testable, and maintainable code using programming languages such as Java, Python, Rust, JavaScript, or Scala.
- Machine learning workflows. Implement and manage machine learning pipelines for data preprocessing, feature engineering, model training, evaluation, and monitoring.
- Full development cycle. Lead the end-to-end development of AI/ML solutions, ensuring timely delivery, adherence to architectural standards, and alignment with business requirements.
- Collaborate with stakeholders. Work closely with senior technical staff, data scientists, and project managers to plan, mitigate risks, and resolve issues while ensuring alignment on business and technical goals.
- Communicate technical solutions. Present technical insights and solutions in clear business terms to non-technical stakeholders and leadership.
- Report status and risks. Effectively communicate progress, risks, and issues to ensure transparency and timely resolution.
Qualifications
Basic Qualifications
- Bachelor’s Degree in Computer Science, Computer Engineering, or related field with 5+ years of relevant experience.
- Advanced degree (Master’s, MBA, PhD) in a related field is a plus.
Preferred Qualifications
- Proficiency in at least one programming language, Java, Python, Scala, or Go.
- Strong knowledge of algorithms and data structures.
- Experience or academic background in developing scalable, reliable AI/ML-powered systems.
- Hands-on experience with the machine learning lifecycle, including data preprocessing, feature extraction, model training, and evaluation.
- Experience collaborating with data scientists and understanding key machine learning paradigms, algorithms, and tools.
- Familiarity with the open-source AI/ML ecosystem (e.g., mlflow, Kubeflow, cortex, seldon, tfx) is a plus.
- Knowledge of Single Page Application development using Angular or similar frameworks is a bonus.
- Experience working with web service standards (REST, gRPC).
- Proficiency in working with databases like MySQL and NoSQL (e.g., Cassandra), including experience with data modeling, cluster setup, and performance tuning.
- Publications or presentations in recognized computing journals or conferences are a plus.
Additional Information
Visa is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status. Visa is also committed to considering applicants with criminal histories in accordance with applicable laws and regulations.