Data Science

5 days ago

Chicago, United States Cloud Analytics Technologies, LLC Full time

We have the following position for Data Scientist--Remote.

Role: Data Scientist

Location: Remote

Duration: Long Term

Mandatory Areas:

  1. Data Scientist with LLM models, NLP, GenAI, ML - 6+ Years
  2. Python– 6+ Yrs of Exp
  3. Pyspark – 6+ Yrs of Exp
  4. Pytorch – 6+ Yrs of Exp
  5. GCP – 3+ Yrs of Exp
  6. Docker – 4+ Years
  7. KubeFlow - 4+ Years

Job Description:

Client is looking for a highly energetic and collaborative Senior Data Scientist with experience building enterprise-level GenAI applications and developing MLOps pipelines. The ideal candidate should have a 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.

Key Responsibilities:

  1. 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.
  2. Work closely with other Data Scientists to help with production models and maintain them in production.
  3. 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.
  4. Be a technical leader on various projects across platforms and a hands-on contributor to the entire platform‘s architecture.
  5. Responsible for leading operational excellence initiatives in the AI/ML space which includes efficient use of resources, identifying optimization opportunities, forecasting capacity, etc.
  6. Design and implement different flavors of architecture to deliver better system performance and resiliency.
  7. Develop capability requirements and transition plans for the next generation of AI/ML enablement technology, tools, and processes to enable Walmart to efficiently improve performance at scale.

Tools/Skills (hands-on experience is a must):

  1. Ability to transform designs from the ground up and lead innovation in system design.
  2. Deep understanding of GenAI applications and the NLP field.
  3. Hands-on experience in the design and development of NLP models.
  4. Experience in building LLM-based applications.
  5. Design and development of MLOps pipelines.
  6. Fundamental understanding of the data science parameterized and non-parameterized algorithms.
  7. Knowledge of AI/ML application lifecycles and workflows.
  8. Experience in the design and development of an ML pipeline using containerized components.
  9. Have worked on at least one Kubernetes cloud offering (EKS/GKE/AKS) or on-prem Kubernetes (native Kubernetes, Gravity, MetalK8s).
  10. Programming experience in Python, Pyspark, Pytorch, Langchain, Docker, Kubeflow.
  11. Ability to use observability tools (Splunk, Prometheus, and Grafana) to look at logs and metrics to diagnose issues within the system.
  12. Experience with Web development.

Education & Experience:

  1. 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.
  2. Graduate degree preferred in a quantitative discipline (e.g., computer engineering, computer science, economics, math, operations research).
  3. Proven ability to solve enterprise-level data operations problems at scale which require cross-functional collaboration for solution development, implementation, and adoption.

Equal Opportunity Employer
CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status, or any other protected status.

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