| Tomorrow Interview || Data Scientist with GenAI, GCP, KubeFlow exp (MUST) || Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Rahul Kumar, SPAR Information Systems [email protected] Reply to: [email protected] Hello Folks, (Must have exp with GenAI, GCP, KubeFlow) Hope you all are doing good. Please go through the Job description and let me know your interest. Role: Data Scientist with GenAI, GCP, KubeFlow exp Location: Remote Duration: 12+ Months Mandatory Areas: Data Scientist with LLM models, NLP, GenAI - 6+ Years Python 6+ Yrs of Exp Pyspark 6+ Yrs of Exp Pytorch6+ Yrs of Exp GCP 3 + Yrs of Exp Web development Prior experience 3+ Years Docker 4+ Years KubeFlow - 4+ Years Job Description: 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/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. Thanks & Regards, Rahul Kumar Sr. Technical Recruiter SPAR Information Systems (a E-verify Company) Email : [email protected] Keywords: artificial intelligence machine learning golang Tomorrow Interview || Data Scientist with GenAI, GCP, KubeFlow exp (MUST) || Remote [email protected] |
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| Fri Apr 19 19:27:00 UTC 2024 |