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.

• Develop, productionize, and deploy scalable, resilient software solutions for operationalizing AI & ML.
• Deploy Machine Learning (ML) models and Large Language Models (LLM) securely and efficiently, both in the cloud and on-premises, using state of the art platforms, tools, and techniques.
• Provide effective model observability, monitoring, and metrics by instrumenting logging, dashboards, alerts, etc.
• In collaboration with Data Engineers, design and build pipelines for extraction, transformation, and loading of data from a variety of data sources for AI & ML models as well as RAG architectures for LLMs.
• Enable Data Scientists to work more efficiently by providing tools for experiment tracking and test automation.
• Ensure scalability of built solutions by developing and running rigorous load tests.
• Facilitate integration of AI & ML capabilities into user experience by building APIs, UIs, etc.
• Stay current on new developments in AI & ML frameworks, tools, techniques, and architectures available for solution development, both private and open source.
• Coach data scientists and data engineers on software development best practices to write scalable, maintainable, well-designed code.

• 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.
• Advocate for security and responsibility best practices and tools.
• Acts as an expert on complex technical topics that require cross-functional consultation.
• Perform other duties as required.

• Experience applying continuous integration/continuous delivery best practices, including Version Control, Trunk Based Development, Release Management, and Test-Driven Development
• Experience with popular MLOps tools (e.g., Domino Data Labs, Dataiku, mlflow, AzureML, Sagemaker), and frameworks (e.g.: TensorFlow, Keras, Theano, PyTorch, Caffe, etc.)
• Experience with LLM platforms (OpenAI, Bedrock, NVAIE) and frameworks (LangChain, LangFuse, vLLM, etc.)
• Experience in programming languages common to data science such as Python, SQL, etc.
• Understanding of LLMs, and supporting concepts (tokenization, guardrails, chunking, Retrieval Augmented Generation, etc.).
• Knowledge of ML lifecycle (wrangling data, model selection, model training, modeling validation and deployment at scale) and experience working with data scientists

• Familiar with at least one major cloud provider (Azure, AWS, GCP), including resource provisioning, connectivity, security, autoscaling, IaC.
• Familiar with cloud data warehousing solutions such as Snowflake, Fabric, etc.

• Experience with Agile and DevOps software development principles/methodologies and working on teams focused on delivering business value.
• Experience influencing and building mindshare convincingly with any audience. Confident and experienced in public speaking.
• Ability to communicate complex ideas in a concise way. Fluent with popular diagraming and presentation software.

• Demonstrated experience in teaching and/or mentoring professionals.

• 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