Key Responsibilities:

• Design and implement the enterprise-wide data architecture strategy, including hands-on development of proof-of-concepts for new technologies and frameworks
• Architect and actively develop complex distributed systems that can scale across multiple regions and handle diverse data workloads
•  Develop, manage, and optimize ETL processes using Azure Data Factory to ensure accurate data integration across global databases
• Design, build, and maintain Microsoft SQL Server databases, ensuring data is well-organized, accessible, and secure
• Lead by example through hands-on development and implementation of advanced data processing frameworks that can be reused across multiple teams
• Define technical standards and best practices for data engineering across the organization through practical implementation and documentation
• Evaluate emerging technologies through proof-of-concept development and make recommendations for adoption or retirement of data technologies
• Identify and implement performance optimization strategies for ETL processes and reports to ensure optimal user experience
• Monitor and troubleshoot complex data processes to ensure uninterrupted service to global teams, including working occasionally outside regular business hours to support multiple time zones
• Create and maintain comprehensive technical documentation, architectural diagrams, and best practices
• Ensure data governance and compliance principles are maintained across all architectural decisions
• Communicate technical information to non-technical stakeholders effectively, tailoring the messaging as needed for diverse audiences
• Mentor and guide team members in technical best practices and architectural principles
• Collaborate effectively with cross-functional teams, including data scientists, analysts, and business stakeholders

Required Technical Skills:

• Expert-level proficiency in SQL and database optimization techniques
• Hands-on expertise in Azure services, particularly Azure Data Factory, Azure SQL Database, and Azure Analysis Services
• Deep practical experience with Data Warehousing using Kimball and STAR schema
• Strong coding abilities in at least one programming language (Python, Java, or C#)
• Hands-on experience with distributed computing frameworks
• Practical experience implementing data streaming solutions
• Expert knowledge of performance tuning and optimization techniques

Team Summary

Visa Consulting & Analytics (VCA) Australia, New Zealand, and South Pacific (AUNZSP) is Visa's advisory division, working with Visa's clients (including card issuers, acquirers, and merchants) on a broad range of key business initiatives including strategy, proposition development, loyalty, operational optimisation, customer engagement and overall business profitability.

VCA is made up of three services lines - Advisory, Data Science and Managed Services, the latter being the execution arm of VCA. Our Managed Services teams (also known as squads) are embedded on client sites leading long-term engagements and delivering value primarily through implementation and execution services. We deliver objectives from a shared value agenda but are also closely connected to the broader VCA team, sharing knowledge, and bringing the best of Visa to the client.

We are looking for a dedicated Engineer to join the client's team for a 12-month fixed-term contract. This role will be embedded with a key strategic client's Business Banking team and will be part of a Tech Squad working on cutting edge technology to drive advancement in the bank's leading engineering practices, focusing on building a new card product. You will lead by example and coach others to develop and automate the testing of robust[SH1] [AN2] , adaptable code that is always production ready. Through collaboration with other developers, your work will improve the banking experience for our client’s customers.

Why Work with Us:

• Visa Managed Services is our fastest growing team in AUNZSP – we’ve grown 10x in less than 3 years – and always have fun projects on the horizon to sink our teeth into.
• We get to work with incredible people every day.  We’re a team of intrapreneurs who work hard, have fun, and get stuff done.
• We are a people business where the people are our product.  As a result, all our people leaders are 100% dedicated to ensuring a positive employee experience.  We attract top talent and are manically focused on developing that talent – even for short-term contracts.
• We are committed to building a diverse team with an inclusive culture that reflects the communities we work in.
• We support flexible working options.

Full-stack Engineer Responsibilities:

• Proficiency in collaborating with teams and technology vendors to support the integration of technologies, ensuring the implementation of robust and scalable systems according to established standards and guidelines.
• Ability to define system integrations, design patterns, and development standards to support cross-functional, multi-system solutions that are scalable and adaptable to meet the organization's current and future needs.
• Experience in creating and updating standard operating procedures and reporting in partnership with the Operations team.
• Expertise in coaching and mentoring engineers and team members to increase their technical capabilities and enhance the performance of scrum teams and the organization.
• Strong project management skills to deliver projects as per the plan and schedule.
• Advanced problem-solving skills and the ability to operate effectively in ambiguous situations.
• Develop comprehensive solutions using front-end technologies (e.g., HTML, CSS, JavaScript, React, Angular) and back-end technologies (e.g., C#/.NET development, Node.js, Python, Java, Ruby).
• Experience with database technologies (e.g., SQL, NoSQL, MongoDB, PostgreSQL).
• Design and implement RESTful APIs and microservices architecture to ensure system robustness and scalability.
• Foster effective collaboration with cross-functional teams to achieve project goals

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.

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Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. FIS is a leading Fintech provider with wide range of Products and Services. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun.

About the role

FIS is seeking an experienced and dynamic MLOps engineer, who will be a subject matter expert in the development of a Cloud Based solution/product. You will have at least 3 years of experience in Machine Learning & ML OPS and proven experience in deploying model on Azure Cloud. Masters is Data Science or Machine learning & experience in Fintech Capital market space is an added advantage.

What you will be doing:

• Participating in Daily Scrum for developing Machine learning solution. Working in Agile development framework

• Understanding the business problems and working with various business & Technical stakeholders.

• Doing exploratory Data analysis and understanding meta data.

• Creating and reviewing ML Models.

• Understanding on Supervised Learning, Unsupervised Learning and Reinforcement learning

• Understanding on Generative AI and prompt engineering

• Model fine tuning.

• Partnering with Data Engineers, ML engineers, developers, and business teams to test your models in production.

• Building and maintaining operational tools for deployment, monitoring, and analysis of Azure infrastructure and systems.

• Administering and troubleshooting Linux based, Dockerized, Kubernetes-orchestrated systems.

• Maintaining/Supporting the solution post development.

What You Will Need:

• Experience with Time Series forecasting Models: ARMA, ARIMA, SARIMA, Vector Auto regression, Smoothing, Kalman Filtering,

• Anomaly Detection: Isolation forests, SVM, Decision Trees and Ensemble Learning

• Deep Learning Basics: RNN, LSTMs, Transformer Architecture, BERT, GPT, Roberta

• Generative AI Prompt engineering: Defining & working on prompts, Fine Tuning LLMs, RAG

• Lang Chain: Chain, Prompts, Agents, Vector stores, Document loaders

• Deploying ML Model on Cloud: Model end point deployment, Docker, Understanding REST APIs, Bit bucket

• Cloud Azure Services: Chat GPT 3.5 Turbo, Azure AI Search, Azure Content Safety, Cosmos DB, Blob storage, Data Bricks, Azure Kubernetes services, Experience in creating ML pipelines on Azure.

• Good Communication Skills: Listening, Comprehending, Speaking.

• Understanding of Application Architecture/Microservices: Application Architecture, Microservice based Architecture.

• Programming: Python, SQL; familiar with Python Libraries like SCIKIT Learn, Tensorflow, Keras, pytorch, scikit-learn, seaborn , matplotlib

Added bonus if you have:

• Experience Working in the financial industry.

What we offer you

• An opportunity to make your mark in a world leading global Fintech

• A flexible hybrid environment with a broad spectrum of opportunities

• A competitive salary package with medical and personal insurances and employee shareholding

#LI_TC2

Privacy Statement

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Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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