Job Posting for Data Scientist - Remote at Alpha Consulting Corp.
Job Title: Data Scientist
Location: Remote
Duration: 10 months
Job ID: 14343-1
Mandatory Areas
Must Have Skills –
Data Scientist with LLM models, NLP, GenAI - 6 Years
Python– 6 Yrs of Exp –
Pyspark –6 Yrs of Exp –
Pytorch–6 Yrs of Exp –
GCP –3 Yrs of Exp –
Web development – Prior experience 3 Years
Docker – 4 Years
KubeFlow - 4 Years
Key Responsibilities
Domain Experience (If any ) – Retail Experience
Work with Walmart's AI/Client 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/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 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/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, 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
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.
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