Data Scientists - Remote / Telecommute at Cynet Systems #vacancy #remote

Job Description:

Responsibilities:

  • 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.

Skills:

  • bility 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.
  • bility to use observability tools (Client, Prometheus, and Grafana ) to look at logs and metrics to diagnose issues within the system.
  • Experience with Web development.

Education and 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.

Notes:

  • We are looking for a data scientist who can contribute to the following domains.
  • Design and development of GenAI applications Deeper understanding of the 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.

PySpark MLOps Prometheus Natural language processing (NLP) kubeflow Docker Data Science Python Web Developer Grafana PyTorch client

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