Head of ML
BiorenderSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Payments, Financial Services, TechnologyIndustries
Requirements
- Deep technical expertise in data science, machine learning, and AI, particularly foundation models
- Strategic thinking and ability to influence across organizational boundaries
- Experience in Model Risk Management (MRM), data governance, privacy, and security practices
- Knowledge of regulatory compliance, jurisdictional requirements, and Visa’s Global Data Use Policy
- Leadership experience in building and leading multidisciplinary teams of data scientists, ML engineers, and research scientists
- Ability to engage with customers, stakeholders, clients, and partners
Responsibilities
- Define and execute the Payments Foundation Models roadmap in alignment with Visa’s AI strategy and revenue goals
- Oversee the end-to-end lifecycle of model development, from data acquisition and preprocessing to model training, evaluation, deployment, and monitoring
- Ensure scalability, robustness, and jurisdictional compliance of deployed models
- Identify and develop new business opportunities for foundation model integration beyond RaIS
- Lead the development of core tooling, pipelines, and infrastructure for efficient model creation and maintenance
- Champion best practices in Model Risk Management, ensuring transparency, explainability, and compliance
- Oversee data governance, privacy, and security practices in line with Visa’s Global Data Use Policy and regulatory requirements
- Ensure documentation and reproducibility standards are met for all models
- Build, coach, and inspire a multidisciplinary team of data scientists, ML engineers, and research scientists
- Promote a culture of innovation, high performance, and continuous learning
- Collaborate closely with product, engineering, risk, and commercial teams to maximize impact
- Act as a thought leader in AI and payments, representing Visa in industry forums, client engagements, and academic collaborations
- Work with Visa clients and partners to understand market needs and articulate the value of foundation model capabilities
- Support go-to-market efforts for Foundation Model-powered products
- Design and implement advanced tooling to create, train, and operationalize payments foundation models
- Develop, maintain, and document models for deployment across different jurisdictions
- Partner with downstream modelling teams across Visa to integrate foundation models into their products and solutions
- Drive model governance excellence, ensuring adherence to Model Risk Management (MRM) and Data Governance frameworks
- Engage with customers and stakeholders to understand needs, share insights, and ensure models deliver measurable business impact
Skills
Data Science
Foundation Models
AI Models
Machine Learning
Model Training
Model Deployment
Model Governance
Risk Management
Payments Technology
Regulatory Compliance
Visa
Global digital payment network provider
About Visa
Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.
San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.
Risks
CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.
Differentiation
Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).
Upsides
Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.
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