Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Payments, TechnologyIndustries
Requirements
- Master's degree in Machine Learning, Data Science, Analytics or related field and 2 years of experience in the job offered or in a Machine Learning or Data Science-related occupation
- Experience in Python
- Experience in SQL
- Experience in Deep Learning
- Experience in Machine Learning
- Experience in Spark
- Experience in Big Data
Responsibilities
- Build machine learning solution for merchant data platform covering entity recognition and classification
- Help build machine learning solutions to enhance merchant data, discover insights, ensure data quality and power cross functional peers to unleash merchant data potential
- Use SQL, Python and basic libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebook to develop natural language and large language models
- Build MLOps and production machine learning systems at large scale, for example, writing model hosting cluster to support merchant machine learning platform
- Build ML infrastructure such as feature store, batch inference and model pipeline orchestration to power merchant machine learning solutions
- Conduct DevOps and CI/CD tooling and concepts such as docker and Jenkins to automate solutions
Skills
Machine Learning
SQL
Python
scikit-learn
Pandas
Jupyter Notebook
Natural Language Processing
Large Language Models
MLOps
Entity Recognition
Data Classification
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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