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Machine Learning Engineer jobs in United States
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Visa · 17 hours ago

Machine Learning Engineer

Visa is a world leader in payments and technology, seeking to unlock the value of data through innovative use. The Machine Learning Engineer will build and maintain AI/ML models and collaborate with cross-functional teams to design and deploy solutions.
FinanceBankingPaymentsInformation TechnologyFinancial ServicesMobile Payments
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Comp. & Benefits
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Responsibilities

Responsible for building end to end automated pipeline for AI/ML models including model development, model validation, model refit, model recalibration, model monitoring and model serving etc
Work collaboratively with Data Scientists, Data Engineer, Software Engineers, Product Manager and cross-functional partners to design and deploy AI/ML based solutions and products
Lead end-to-end deployment and maintenance of machine learning models in production, from concept, design, implementation, to rollout, ensuring the highest quality and performance
Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Visa’s unique business and offerings
Design, implement, and maintain reliable, high-performance distributed systems

Qualification

AI/ML model developmentMachine learning pipelinesStatistical modeling techniquesProgramming in PythonHadoop ecosystem knowledgeAWS for MLOpsVisualization toolsProblem-solving capabilitiesCommunication skills

Required

2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
Strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership

Preferred

3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
Master's or Advanced Degree in a Quantitative field such as Statistics, Computer Science, Economics, Engineering, or equivalent with analytics expertise in applying statistical solutions to business problems
3+ years of relevant experience in AI/ML model development and deployment with an Advanced Degree
Experienced with building AI/ML model pipelines and creating robust and scalable AI/ML solutions
Advanced programming ability building Machine learning pipelines in Spark, Python, HIVE or Scala, Airflow, github, MLflow that deploy AI models into production
Exposure to model management and governance practices. Ability to take decisions around model drift to monitor and refine models continuously
Working knowledge of Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, MLlib, GraphX, iPython, sci-kit, Pandas etc.)
Proficient in advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree, Transformer model, and LLM, etc
Experience working with large scale data ingestion, processing and storage in distributed computing environments / big data platforms (Hadoop) as well as common database systems and value stores (Parquet, Avro, HBase, etc.)
Familiarity with both common computing environments (e.g., Linux, Shell Scripting) and commonly used IDE's (Jupiter Notebooks)
Experience working with AWS for MLOps model development and model implementation is preferred but not required
Proficient with office tools excel, word. Familiar with visualization Tools like Tableau, Power BI

Benefits

Medical
Dental
Vision
401 (k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program

Company

Visa is a multinational financial services company that facilitates electronic payment systems throughout the world.

Funding

Current Stage
Public Company
Total Funding
unknown
Key Investors
TNB Financial Services
2016-09-10Post Ipo Equity
2008-03-19IPO

Leadership Team

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Ryan McInerney
Chief Executive Officer
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Chris Suh
EVP & Chief Financial Officer
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Company data provided by crunchbase