Company Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

　　When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

　　Join Visa: A Network Working for Everyone.

　　Job Description Job Description

　　As our team continues to expand rapidly, we are seeking to hire ML Ops Engineer at the Senior Manager level. The ideal candidate will possess robust experience in Machine Learning and be adept at navigating the complexities associated with deploying and maintaining ML models in a production environment. Your role will encompass the complete lifecycle of machine learning applications, from their development and testing to their deployment and monitoring.

　　Furthermore, you will be entrusted with comprehensive project management, working in collaboration with data scientists and data engineers across different regions to design and sustain scalable data models and pipelines. As a leader, you will also be expected to mentor and guide your team members, helping them to implement ML Ops best practices and bringing in your subject matter expertise.

　　This position is based in Visa's offices in Bangalore, India, and presents an excellent opportunity for those looking to make a significant impact in the field of ML Ops Engineering.

　　Essential Functions

　　Lead the MLOps team and develop a strategic vision for the use and operation of machine learning based solutions within the Global solutions portfolio.Oversee the development and implementation of machine learning models. Ensure models are built with scalability, flexibility and production deployment in mind.Manage the deployment of machine learning models into production environments. Work closely with the IT team to ensure smooth deployment and integration with existing systems.Define and develop processes and tools to perform model re-training, model performance evaluation and score optimization for existing ML models, introducing automation where possible.Be able to interpret performance evaluation results, provide alternative improvements and present the findings to other data scientist groups across regional teams.Create necessary validation and documentation to support the model approval process with the Model Risk Management group to make it production ready.Collaborate with Data engineers, Data scientists and various groups within the organization to identify areas of improvement, bottlenecks and re-use existing frameworks/processes.Strong understanding of development and implementation aspects of ML/AI, especially on billion-scale datasets. Participate in the hiring process to build the ML Ops team and create seamless onboarding experience for the new team members and continuously support and mentor the team members.

　　This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

　　Qualifications Basic Qualifications

　　•8+ years of relevant work experience and a Bachelors degree, OR 11+ years of relevant work experience

　　Preferred Qualifications

　　•9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD

　　•Exposure to Financial Services/ Payments Industry

　　Technical skills:

　　•Experience with machine learning model design, implementation, deployment and management.

　　•Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

　　•Strong programming skills in building data pipelines using PySpark, Hive, Airflow.

　　•Experience working with scheduling tools (Airflow, Oozie) or building data processing orchestration workflows.

　　•Hands-on experience working with large scale data ingestion, processing, and storage in the Hadoop ecosystem

　　•Experience in writing and optimizing SQL queries in Big data environment.

　　•Experience working in Linux/Unix environment and exposure to command line utilities.

　　•Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems.

　　•Experience working in building and integrating the code in the defined CI/CD framework using git.

　　•Experience working in machine learning models, deep learning models based on unstructured, structured, and streaming datasets.

　　•Experience in drafting solution architecture frameworks that rely on API’s and micro-services.

　　Strategic and Functional Excellence

　　•Ability to translate data and technical concepts into requirements documents, business cases and user stories.

　　•Results-oriented with strong problem-solving skills and demonstrated intellectual and analytical rigor

　　•Good business acumen with a track record in solving business problems through data-driven quantitative methodologies.

　　•Very detailed oriented, is expected to ensure highest level of quality/rigor in reports and data analysis

　　•Should have strong problem-solving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership

　　•Demonstrated ability to incorporate new techniques to solve business problems

　　Leadership and Stakeholder Management

　　•Very strong project management and organizational, skills and experience in planning, organizing, and managing multiple large projects with diverse cross-functional teams

　　•Excellent written and verbal communication skills for coordinating across teams.

　　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.