Sr. ML Engineer

Cybersecurity - Product Security Engineering team prides itself in keeping Visa systems up and secure, catering to the 24/7 needs of the business. The team uses AI/ML in building new age solutions that helps Visa Products more secure and provide proactive security measures. Cybersecurity Engineer, a highly motivated senior experienced individual contributor, responsible for innovative planning, designing and developing effective solutions in accordance with industry standards on best web development practices. As part of the team, you will be required to own key modules, perform code and design AI architectural reviews, suggest best practices and implement design and development standards. The role is a consultant who has the passion to solve problems, factor old codes, learn and pick up new technologies like generative AI, , LLM, On-prem/Cloud models. The role will also be required to lead implementations on key modules and mentor junior team members

The Opportunity:

This role requires an experienced AI/ML engineer with a passion for working on LLM-based applications. The team is tasked with building key AI/ML applications and scalable pipelines. The successful candidate should have a proven track record of developing multiple AI applications and be adept at managing the entire spectrum of AI application development while leading multiple workstreams.
Key responsibilities include:

• Leading and delivering specific project deliverables as an AI Engineer
• Providing guidance to the engineering team on building new LLM applications and leveraging existing AI applications
• Improving the productivity of the engineering organization by infusing AI into our coding standards and practices.
• Acting as the AI projects design authority
• Shaping best practices and methodologies within the team
  

This role involves 70% AI and 30% Core automation and application development. The successful candidate should be open to working on infrastructure automation development to understand the current processes and suggest enhancements to improve productivity using LLM models. This position offers an excellent opportunity for a candidate with strong AI engineering credentials to increase their knowledge and experience in the Security Domain.

The Work itself:

• Design code and systems that touch 40% of the world population while influencing Visa s internal standards for scalability, security, and reusability
• Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings
• Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads
• Develop robust and scalable products
• Leverage innovative technologies to build the next generation of Cybersecurity Products
• Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities

Essential Functions:

• Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization.
• Develops and designs advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem.
• Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed.
• Plays a key role in the development and delivery of new features across products from end-to-end.

• The Skills You Bring

  :

• Energy and Experience

  : A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale

• Challenge the Status Quo

  : Comfort in pushing the boundaries, hacking beyond traditional solutions

• Builder

  : Experience building and deploying modern services and web applications with quality and scalability

• Learner

  : Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc.

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

Basic Qualifications
4+ years of relevant work experience and a bachelor s degree OR 2+ years of relevant work experience. Master s graduates. Preferred Qualifications 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) Bachelor s degree in computer science, Electronics/ Electrical Engineering or a related technical discipline is required Strong knowledge in AI/ML and data technologies, with expertise in Python and Java Experience in using machine learning technologies such as TensorFlow, PyTorch, and Scikit-learn is a plus. Demonstrated experience in developing scalable AI pipelines and integrating models into real-time systems. Proven track record of managing and executing multiple high-impact LLM based projects, balancing delivery speed with quality. Able to showcase the productivity improvement by collecting relevant metrics. Self-driven and act as a leader in the AI space within the department. Act as a mentor to the rest of the developers to leverage existing and new AI toolsets. Ability to communicate complex AI concepts to both technical and non-technical stakeholders. Spearhead development, embedding, automation, and operation of scalable AI applications. Ensure technical quality and reliability of AI solutions through rigorous testing, validation, and implementing frameworks for scalable data ingestion. Optimize AI application performance and efficiency. Collaborate across teams to drive AI innovation, while expanding your expertise within an experienced, inclusive, and international team. Extensive relevant mid-level work experience Proficient in Python, software development, and application of AI models. Highly skilled in realizing the full potential of LLM-based AI frameworks. Hands on experience on Java and Angular is preferred Ability to take ownership of open ended and highly complex problems and drive them to completion Ability to work effectively on multiple concurrent assignments with both AI and non-AI applications projects