🚀 Rapid career advancement with opportunities to learn

🤝 Opportunity in a company with a solid track record of performance

⚓️ Stable company with a strong employer brand

🎯 Mission-driven company with powerhouse founders

🧑‍🏫 Training and mentorship to learn from best in class talent

• Works closely with the MLE manager to define NLP initiatives, roadmaps and strategies.
• Collaborate with the product team and project stakeholders to convert business requirements into requisite NLP capabilities.
• Develops, deploys, and optimizes state-of-the-art LLM models for diverse NLP applications.
• Utilizes NLP/LLM techniques to discover valuable insights from unstructured data sources such as call transcripts, emails, mentor notes, etc.
• Utilizes generative AI to build the next generation learning experience for our WGU students.
• Executes the entire ML development lifecycle including model research, data processing, model training and fine-tuning, model experimenting and evaluation, model improvement, as well as model deployment.
• Collaborates with the Data Engineer team to develop and implement the data processing pipeline to ensure high-quality input for model training and inference.
• Collaborates with the MLOps team to deploy ML models to production environment, ensuring scalability, reliability, and performance.
• Collaborates with the Software, Infrastructure, and Security teams to integrate ML soluctions seamlessly into WGU eco-system.
• Stays up to date with the state-of-the-art technologies of LLM, NLP, and Deep Learning, and proactively apply them to our use cases to drive innovation of WGU.
• Works with other team members to create standards and guidelines for ML.
• Follows Agile, ML best practices and company’s processes.
• Communicates status and updates with leadership, team members and other teams.
• Mentors and provides guidance to junior team members.
• Investigates trends and needs for ML models.
• Performs other related duties as assigned.

• Experience operating high-availability, fault-tolerant, scalable, distributed software/infrastructure in production utilizing GitOps practices (Terraform preferred).
• Experience with existing MLOps frameworks (Databricks, Seldon, Sagemaker, DVC, etc.).
• Strong background with either Scala (Java), Go, or Python programming experience.
• Substantial experience operating big data infrastructure in a cloud-based ecosystem (AWS preferred).
• Solid understanding of traffic management and networking concepts.
• Experience with stream-processing systems (ksqlDB, Spark Streaming, Apache Beam/Flink, etc.).
• Experience with software engineering standard methodologies (unit testing, code reviews, design document, continuous delivery).
• Develop and deploy production-grade services, SDK’s, and data infrastructure emphasizing performance, scalability, and self-service.
• Ability to conceptualize and articulate ideas clearly and concisely.
• Entrepreneurial or intrapreneurial experience leading the creation of a new product & organization.

Western Governors University (WGU) is a pioneering online institution dedicated to making higher education accessible, affordable, and career-focused. Founded in 1997 by 19 U.S. governors, WGU offers competency-based programs that allow students to learn at their own pace, ensuring they gain the skills needed to advance in their careers.  

With over 300,000 graduates, our university is a leader in online education, offering accredited degree programs in business, IT, teaching, and healthcare. Our innovative learning model emphasizes real-world skills, personalized mentorship, and flexibility, making education achievable for working professionals. At WGU, success is defined by potential, not just grades—bridging the skills gap and creating new opportunities in high-demand fields.