MLOps Engineer
Why WWT?
Founded in 1990, World Wide Technology (WWT), a global technology solutions provider leading the AI and Digital Revolution, with $20 billion in annual revenue, combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for large public and private organizations around the world. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps customers and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities.
With nearly 10,000 employees and more than 55 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 13 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and leadership focus on diversity and inclusion. With this culture at its foundation, WWT bridges the gap between business and technology to make a new world happen for its customers, partners and communities.
What is the Solutions Consulting & Engineering (SC&E) Team and why join?
Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end (E2E) and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. We embody the OneWWT mindset by bringing the right talent at the right time from anywhere within WWT to solve our customer's problems. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges.
RESPONSIBILITIES:
Develop, productionize, and deploy scalable, resilient software solutions for operationalizing AI & ML Adhere to software architecture and software design best practices to write scalable, maintainable, well-designed code. Build end-to-end AI & ML delivery In collaboration with Data Engineering design and build feature engineering pipelines for extraction, transformation, and loading of data from a variety of data sources for ML models. Stay current on new developments in ML frameworks, data structures, data modelling, software architecture and libraries available for solution development. Coach data scientists and data engineers on software development bestAgile Project Work
Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, DevOps engineers, designers, product managers, technical delivery teams, and others to continuously innovate AI and MLOps solutions Act as a positive champion for broader organization to develop stronger understanding of software design patterns that deliver scalable, maintainable, well-designed analytics solutions Acts as an expert on complex technical topics that require cross-functional consultation