Sr. Consultant : Data Engineer with GenAI
Sr. Consultant : Data Engineer with GenAI
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Job Description
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 real-time insights used by our clients to manage risk. Created by the Predictive Fraud Intelligence (PFI) 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.
Job Description
This is a great opportunity to work with a new Engineering and MLOps team to scale and structure large scale data engineering and ML/AI that drives significant revenue for Visa. As a member of the Risk and Identify Solutions modeling organization (PFI) your role will involve developing and implementing practices that will allow deployment of machine learning models in large data science projects.
You must be a hands-on expert able to navigate both data engineering and data science disciplines to build effective engineering solutions that support ML/AI models. You will partner closely with global stakeholders in RaIS Product VPM Data Science and Visa Research to help create and prioritize our strategic roadmap. You will then leverage your expert technical knowledge of data engineering tools and data architecture in the design and creation of the solutions on our roadmap.
Essential Functions:
Youll be the face of the team representing us in various technical forums.
Youll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value.
Youll analyze business requirements and architect highly secure robust and scalable solutions.
Youll drive internal proof of concept initiatives. When needed quickly design and implement a prototype of a system or component with a proper architecture and then lead or hand over to engineering team to implement.
Youll champion efforts to architect design and implement various components of our global transaction processing systems.
Your DNA will include following and creating software best practices and processes.
Youll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability.
Youll play key role in meetings and discussions with cross-functional and non-technical teams.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Qualifications :
Basic Qualifications:
10 or more years of relevant work experience with a bachelors degree or at least 8 years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 7 years of work experience with a PhD
Preferred Qualifications:
Solid experience in big data engineering with working knowledge of Hadoop Apache Spark Python and SQL.
Proficiency in creating and managing large-scale data pipelines handling complex high-volume multi-dimensional data and machine learning models.
Expertise in developing ETL processes maintaining Spark pipelines.
Expertise in Python and experience in REST APIs container-based technologies and implementing containerization strategies using Docker and Kubernetes.
Proficient in popular technologies and cloud services such as Kafka Redis Flink AWS services and containerized environments (Docker K8s).
Skilled in Unix/Shell or Python scripting using scheduling tools like Airflow and Control-M and maintaining OPS tools.
Familiarity with Agile development incorporating TDD CI/CD and relational and non-relational databases.
Proven track record of building applications adhering to industry best practices for reliability availability scalability and operability.
Ability to manage component security analysis and collaborate with security teams.
Strong work ethic focus on immediate goals and proven experience as a technical leader.
Passion for mentoring juniors and helping them reach new heights.
Demonstrated proficiency with programming languages scripting languages code quality initiatives and operating systems.
Excellent communication and interpersonal skills and a strong team player.
Gen AI expertise:
Have experience in building and enhancing RAG pipelines.
Have expertise in architecting implementing and optimizing AI agents capable of planning reasoning an acting.
Have a working expertise in building MCP tools and clients.
Have expertise in frameworks like Lang chain Lang graph etc.
Expertly craft prompts for various LLMs and contributes to fine tuning of models for specific tasks to enhance performance and alignment.
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 :
Full-time
Employment Type
Full-time
