Sr ML Engineer, AI Governance

Job Description and Responsibilities

Responsibilities: 

• You will leverage sound architectural principles to implement effective and efficient solutions. 
• You will be a lead working with other developers on building applications from scratch to pushing them into production. 
• You will play a pivotal role in developing an advanced AI governance platform. This platform will be integral to the management and auditing of Visa's AI/ML systems. Your responsibility will also include addressing evolving challenges in AI governance and responsible AI. 
• You will explore and evaluate emerging technologies, prototype, and strategize its adaptation within Visa. 
• You will lead code reviews, and deliver high quality code  
• Support production systems and constantly improve our user experience. 
• Follow established software development guidelines and Visa security standards 
• Build and maintain relationships with the agile team, the user community, architects, and support teams to understand requirements and implement effective solutions 

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualification

-3+ years of relevant work experience and a Bachelors degree OR an advanced degree OR 5+ years of

relevant work experience

-Experience in software development, big data, and machine-learning processes.

-Experience leading a development team in the design, development, coding,

testing, and debugging of applications.

-Proficiency in machine learning algorithms and techniques, as well as

programming languages such as Python, R, Golang or Java.

-Experience with machine learning frameworks like TensorFlow or PyTorch is

also essential.

-Experience working in an agile environment.

-Experience in software build and release pipeline using CI/CD tools,

containerization, Unix, and shell scripting.

-Mentoring and coaching experience.

Preferred Qualification

-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. 

-Proficiency in implementing ethical AI practices, including fairness,

transparency, and bias mitigation. This involves leading discussions on moral

and behavioral AI topics and advocating for best practices in AI

implementation. 

-Ability to oversee AI governance processes, including the development and

maintenance of AI compliance frameworks, and ensuring that AI models are

reliable, fair, and transparent. 

-Strong understanding of ethical considerations in AI, including the mitigation of

bias and ensuring fairness in AI models. 

-Familiarity with Retrieval-Augmented Generation (RAG) techniques. 

-Hands on experience with Pre-Training, Fine-Tuning, Reinforcement Learning. 

-Prior experience in Google Cloud Vertex AI, AWS SageMaker or Azure Machine

Learning Studio is a plus.