Staff ML Engineer
Staff ML Engineer
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Job Description
AI Governance (AIG) Engineering team is part of the Data and AI Platform (DAP) technology organization in Visa. The teams mission is to provide a Trustworthy AI an engineering solution for Visa to achieve centralized AI excellence across Visa. We aim to develop assess and deploy AI systems in a responsible and trustworthy way at Visa. This is a fantastic opportunity to join the effort undergoing in building the AI Observatory product for Visa. The AI Observatory product provides an inventory of ML models and AI systems oversight for models full lifecycle and governance of all models accuracy transparency fairness and robustness. We are also uplifting domainspecific models to the unified AI Governance framework and streamline the modeling efforts to a centralized AI excellence across Visa.
As an AI Engineer in AI Governance engineering team you will have the unique chance to make a direct and meaningful impact by building and delivering solutions that power AI Governance engineering solution. You will design enhance and build solutions dealing with the next generation AI/ML and Generative AI technology and be an agent of transformation. We deliver and support strategic goals and have a lasting impact on our enterprise. We aim to stay ahead of the curve adapting to the advancement of Generative AI and keep our business miles ahead of our competitors.
Responsibilities
You will design develop and maintain scalable and reliable AI governance service.
You will apply robust architectural principles to create effective and efficient solution.
You will work closely with interdisciplinary teams including data scientists product managers and legal experts to ensure compliance of AI systems with ethical standards and regulatory requirements.
You will be instrumental in developing an advanced Responsible AI platform utilizing the latest Generative AI technology.
You will address the evolving challenges in AI governance ensuring the creation of responsible and trustworthy AI solutions.
You will investigate and assess emerging technologies and thirdparty solutions prototyping and strategizing their integration within Visa.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager
Qualifications :
6 years of relevant work experience with a Bachelors Degree or an Advanced degree (e.g. Masters MBA JD MD) OR 8 years of relevant work experience.
MS or Ph.D. degree in Computer Science Engineering or a related field.
Experience in software development big data and machinelearning processes.
Experience in all phases of development the design coding testing debugging deployment and monitoring of applications.
Experienced with highperformance imperative languages including Python Java Golang React.js Next.js fullstack web development.
Built predictive models using Python and ML libraries and managed their lifecycle from development to production.
Experienced Big data and distributed computing platforms such as Hadoop Spark Docker Kubernetes and Airflow.
Experience in ML AI and Generative AI model and applications development.
Experience working in an agile environment.
Evaluate vendor and opensource software write proof of concepts and design new systems.
Strong understanding of agentic frameworks such as LangChain LangGraph AutoGen CrewAI etc.
Experience with OpenAI or Anthropic or Llama models and developing applications that leverage its capabilities.
Familiarity with RetrievalAugmented Generation (RAG) techniques.
Hands on experience with PreTraining FineTuning Reinforcement Learning.
Understanding of Model Bias Fairness Model Explainability and Model Drift.
Prior experience in Google Cloud Vertex AI AWS SageMaker or Azure Machine Learning Studio is a plus.
Experience in creating Microsoft BI report data transformation and BI tech stack.
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
