Data Engineering Manager - ML Ops
Data Engineering Manager - ML Ops
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Job Description
Sr. Manager Data Engineering MLOps
Team Summary:
The Risk and Identity Solutions (RaIS) team provides risk management services for banks merchants and other payment networks. Machine learning and AI models are the heart of the realtime insights used by our clients to manage risk. Created by the Visa Predictive Models (VPM) team continual improvement and efficient deployment of these models is essential for our future success. To support our rapidly growing suite of predictive models we are looking for engineers who are passionate about managing large volumes of data creating efficient automated processes and standardizing ML/AI tools.
Leadership & Management:
- Hire retain and grow highperforming diverse engineering and data science teams.
- Lead with a clientfocused mindset across organizations.
- Mentor and motivate highperforming teams of engineers and tech leads to achieve critical business goals and KPIs.
Technical Leadership:
- Provide technical leadership/oversight to data engineers and data scientists.
- Drive the architecture for key crossteam/crossproduct development projects.
- Establish software development and data science best practices via examples and shipping code.
- Ensure engineering and data science excellence (quality security performance scalability availability resilience).
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 set days a week (determined by leadership/site) with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications :
Basic Qualifications:
- Degree (e.g. Masters MBA JD MD) in Engineering or similar field of study
- Strong technical knowledge and expertise in software engineering and data engineering to guide and support the team.
- Experience building and supporting scalable reliable data solutions and AI/machine learning powered systems using modern big data and ML/AI technologies.
Preferred Qualifications:
- Comprehensive understanding of database design and management systems (both SQL and NoSQL) expertise in performance optimization data security data modelling etc. along with the ability to adapt new database technologies.
- Strong knowledge on AWS services such as S3 EC2 Lambda EMR Opensearch and having understood on machine learning services like Sagemaker is plus.
- Solid understanding of Big Data technologies notably Hadoop for distributed data storage and Spark for largescale data processing enabling team to handle and analyze vast amounts of data efficiently.
- Good Understanding of practices like CI/CD pipeline version control systems (like Git) and containerization tools (like Docker).
- Having worked on MLOps solutions prior is a big plus
- Handson experience partnering with data scientists and can speak knowledgeably about the major machine learning paradigms algorithms software tools infrastructure and workflow needs. Publications or presentations in recognized computing journals/conferences is a plus.
- Payment industry experienceis a plus.
- Familiarity with the associated opensource ecosystem (e.g.mlflow ELK) is a plus.
- Proficiency in a variety of machine learning algorithms and models like linear/logistic regression random forest boosting neural networks is a plus.
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
