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.
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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 to integrate and operationalize AI & ML capabilities.
- Adhere to software architecture and software design best practices to write scalable, maintainable, well-designed code.
- Develop automated end-to-end ML delivery pipelines; enabling model training, evaluation, tracking, and serving.
- 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.
- Advocate for AI security and responsibility best practices. Enable monitoring and observability capabilities for the delivery teams.
- Stay current on new developments in ML frameworks, tooling, data modelling, software architecture and libraries available for solution development.
- Coach data scientists and data engineers on software development best practices.
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Agile 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
Qualifications:
- Experience applying continuous delivery best practices, including CI/CD, Version Control, Trunk Based Development, Release Management, and Test-Driven Development using popular tooling (e.g., Azure DevOps, CircleCI)
- Experience deploying and operating scalable, reliable, and secure software solutions on modern clouds (AWS, Azure, GCP) and container platforms (Docker, Kubernetes, etc.)
- Knowledge of Machine Learning lifecycle (wrangling data, model selection, model training, modeling validation, drift monitoring, and deployment at scale) and experience working with data scientists
- Familiar with cloud data warehousing solutions such as Snowflake, BigQuery, Fabric, etc.
- Experience with popular MLOps tools (e.g., Kubeflow, mlflow, AzureML, Domino)
Preferred:
- Experience with deep learning platforms (eg: Databricks, Nvidia DGX) and frameworks (e.g.: TensorFlow, Keras, Theano, PyTorch, Caffe, etc.)
- Experience working in Data Architecture, engineering and ETL teams, managing implementation of projects that utilize big data, advanced analytics, and machine learning technologies
- Experience with Edge Analytics, embedded systems, or computer vision
- Experience influencing and building mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences.
- Demonstrated experience in teaching and/or mentoring professionals
Want to learn more about SC&E Check us out on our platform: http://www.wwt.com/consulting-services-careers
The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
- Health and Wellbeing: Health, Dental, and Vision Care, Onsite Health Centers, Employee Assistance Program, Wellness Program
- Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Tuition Reimbursement
- Paid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Military Leave, Bereavement
- Additional Perks: Nursing Mothers Benefits, Voluntary Legal, Pet Insurance, Employee Discount Program
Equal Opportunity Employer Minorities/Women/Veterans/Individuals with Disabilities
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