Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Payments, TechnologyIndustries
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Comfortable work with multi-cloud setup and experience with AWS or/and GCP and containerized environment like Kubernetes
- Solid understanding of machine learning lifecycle and fundamentals
- Expertise in Python
- Familiarity with Terraform, GitHub and GitHub Actions
- Excellent problem-solving skills and attention to detail
- Bonus Qualifications
- Experience with Vertex AI, specifically in online prediction
- Experience with Cloud Run and Workload Identity Federation
- Experience with kubeflow pipelines
- Experience with Triton inference server and TensorRT
- Understanding of data security and privacy regulations
Responsibilities
- Design, develop, and deploy scalable machine learning products with a focus on online prediction
- Build and maintain infrastructure and tooling as a platform for data scientists
- Collaborate with cross-functional teams to integrate ML solutions into production systems
- Monitor and maintain the performance and reliability of ML models post-deployment
- Stay current with the latest advancements in machine learning and related technologies
Skills
Python
Machine Learning
Kubernetes
AWS
GCP
Terraform
GitHub
GitHub Actions
Multi-cloud
ML Lifecycle
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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