Data Scientist

Skills

Description

Client 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.

Responsibilities

• Work with Walmart's AI/ML Platform Enablement team within the eCommerce
• Analytics team. The broader team is currently on a transformation path, and
• this role will be instrumental in enabling the broader team's vision.
• 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 workflows
• Be a technical leader on various projects across platforms and a hands-on
• contributor of the entire platform's architecture
• Responsible for leading operational excellence initiatives in the AI/ML
• 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/ML 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
• design
• Deep understanding of GenAI applications and NLP field
• Hands on experience in the design and development of NLP models
• Experience in building LLM-based applications
• Design and development of MLOps pipelines
• Fundamental understanding on the data science parameterized and
• non-parameterized algorithms.
• Knowledge on AI/ML application lifecycles and workflows.
• Experience in the design and development of an ML 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,
• Kubeflow
• Ability to use observability tools (Splunk, Prometheus, and Grafana ) to
• look at logs and metrics to diagnose issues within the system.
• Experience with Web development.

Educational Requirements

• 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.