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Data Scientists at Remote, Remote, USA
Email: [email protected]
From:

ranjeet kumar,

source infotech inc

[email protected]

Reply to:   [email protected]

Hi

Data Scientists

Remote

Long Term   

No H1b

! ( If a candidate is above 1990 born need Passport Number


Must Have Skills:

Total IT exp - 12+ 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:

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

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.

I would appreciate your valuable reply.

Have a nice day. 

Thanks and regards

Ranjeet kumar

,

IT-Technical Recruiter

Source Infotech Inc

P.O. Box 577, EDISON, NJ 08818-0577

Web:www.sourceinfotech

Id:

[email protected]

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Keywords: artificial intelligence machine learning information technology Idaho New Jersey
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Thu Apr 18 22:49:00 UTC 2024

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