Senior Machine Learning Engineer

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions, and government entities across more than 200 countries and territories. Committed to uplifting everyone, everywhere, Visa aims to be the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale by tackling meaningful challenges, growing your skills, and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, your community, and the world. Progress starts with you. About The Role The Senior Machine Learning (ML) Engineer is a pivotal role responsible for building and maintaining the ML platform infrastructure that supports AI and ML applications across the organization. This position is ideal for a hands-on engineer with practical experience in cloud technologies such as AWS, SageMaker, Kubernetes, GPU orchestration, Infrastructure as Code, and MLOps. The primary focus is on designing scalable, secure, and reliable platforms to enable Data Scientists and AI Engineers to efficiently transition models from research to production. The successful candidate will contribute to architectural decisions, implementation standards, and best practices within the ML platform team, fostering an environment of continuous modernization and innovation. This role also involves working with emerging AI technologies, including Generative AI tools, Large Language Models, and AI-enabled productivity platforms, to support the evolving needs of the organization. Qualifications The ideal candidate will possess a minimum of 2+ years of relevant work experience with a Bachelor's degree or 5+ years of professional experience in a related field. Preferred qualifications include over 4 years of specialized experience in designing, building, and maintaining scalable ML platform infrastructure for AI/ML applications. Candidates should have extensive knowledge of AWS services such as EC2, S3, EKS, SageMaker, IAM, VPC, and CloudWatch, along with experience managing Kubernetes clusters and containerized ML workloads using Docker. Familiarity with ML pipeline orchestration tools like Kubeflow, Airflow, or MLflow, as well as Infrastructure as Code tools such as Terraform or CloudFormation, is essential. Proficiency in developing CI/CD pipelines, implementing secure cloud architectures, and scripting with Python and shell scripting for automation is also required. Experience with generative AI, large language models, GPU orchestration, ML serving frameworks, and hybrid cloud or on-prem infrastructure is highly desirable. The candidate should demonstrate strong collaboration skills, mentoring capabilities, and a proactive approach to adopting emerging AI/ML infrastructure technologies. Responsibilities As a Senior ML Engineer, your responsibilities will include leading and delivering specific platform engineering projects, providing guidance to engineering teams on building scalable ML infrastructure, deployment patterns, and platform capabilities. You will focus on enhancing the productivity of Data Scientists and AI Engineers by developing tooling that simplifies model deployment and productionization. Acting as a platform design authority, you will shape best practices and methodologies within the ML platform team. Your role involves designing and constructing scalable ML pipelines, orchestration frameworks, and model serving infrastructure to support diverse AI workloads. You will collaborate closely with Data Scientists, AI Engineers, infrastructure teams, and security partners to integrate AI/ML solutions into production systems seamlessly. Building and operating secure cloud and on-prem infrastructure using AWS, Kubernetes, SageMaker, Terraform, and related technologies will be a core part of your duties. Supporting GPU-enabled infrastructure for training, inference, and workload optimization, especially for GenAI and large language models, will be critical. Modernizing legacy ML pipelines and adopting emerging technologies will ensure the platform remains reliable, scalable, and operationally efficient. You will also communicate complex technical concepts and architectural decisions effectively to both technical and non-technical stakeholders, ensuring alignment and clarity across teams. Benefits Visa offers a comprehensive benefits package designed to support your health, well-being, and professional growth. Eligible employees can access Medical, Dental, and Vision insurance plans, along with a 401(k) retirement savings plan, FSA/HSA options, and Life Insurance coverage. The company promotes work-life balance through Paid Time Off and wellness programs aimed at fostering a healthy, productive work environment. Additionally, Visa provides opportunities for career development, ongoing training, and participation in innovative projects that contribute to the organization’s technological advancement. The role may also include bonus and equity options, reflecting the company's commitment to rewarding performance and dedication. Equal Opportunity Visa is an Equal Opportunity 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 values diversity and inclusion and is committed to creating a workplace where everyone can thrive. The company also considers qualified applicants with criminal histories in accordance with EEOC guidelines and applicable local laws, ensuring fair and equitable employment practices.