Senior Data Scientist

Senior Data Scientist for eComm AnalyticsLocation: Bentonville, Arkansas OR RemoteUST Global® is looking for a highly energetic and collaborative Senior Data Scientist with experience building enterprise level GenAI applications, designed and developed MLOps pipelines. The ideal candidate should have deep understanding of the NLP field, hands on experience in design and development of NLP models and experience in building LLM-based applications. Excellent written and verbal communication skills with the ability to collaborate effectively with domain experts and IT leadership team is key to be successful in this role. We are looking for candidates with expertise in Python, Pyspark, Pytorch, Langchain, GCP, Web development, Docker, Kubeflow etc.Key Responsibilities:Work with Walmart's AI/Client Platform Enablement team within the eCommerce Analytics team.Work closely with other Data Scientists to help with production models and maintain them in production.Deploy and configure Kubernetes components for production cluster, including API Gateway, Ingress, Model Serving, Logging, Monitoring, Cron Jobs, etc. Improve the model deployment process for MLE for faster builds and simplified workflowsBe a technical leader on various projects across platforms and a hands-on contributor of the entire platform's architectureResponsible for leading operational excellence initiatives in the AI/Client space which includes efficient use of resources, identifying optimization opportunities, forecasting capacity, etc.Design and implement different flavors of architecture to deliver better system performance and resiliency.Develop capability requirements and transition plan for the next generation of AI/Client enablement technology, tools, and processes to enable Walmart to efficiently improve performance with scale.Tools/Skills (hands-on experience is must):Ability to transform designs ground up and lead innovation in system designDeep understanding of GenAI applications and NLP fieldHands on experience in the design and development of NLP modelsExperience in building LLM-based applicationsDesign and development of MLOps pipelinesFundamental understanding on the data science parameterized and non-parameterized algorithms.Knowledge on AI/Client application lifecycles and workflows.Experience in the design and development of an Client pipeline using containerized components.Have worked on at least one Kubernetes cloud offering (EKS/GKE/AKS) or on-prem Kubernetes (native Kubernetes, Gravity, MetalK8s)Programming experience in Python, Pyspark, Pytorch, Langchain, Docker, KubeflowAbility to use observability tools (Splunk, Prometheus, and Grafana ) to look at logs and metrics to diagnose issues within the system.Education & Experience:6+ years relevant experience in roles with responsibility over data platforms and data operations dealing with large volumes of data in cloud based distributed computing environments.Graduate degree preferred in a quantitative discipline (e.g., computer engineering, computer science, economics, math, operations research).Proven ability to solve enterprise level data operations problems at scale which require cross-functional collaboration for solution development, implementation, and adoption.