Job ID:
J38731
Job Title:
Data Science
Location:
Chicago, IL
Duration:
12 Months + Extension
Hourly Rate:
Depending on Experience (DOE)
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EAD
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C
Hi,
We have the following position for Data Scientist--Remote.
Role: Data Scientist
Location: Remote
Duration: Long Term
Mandatory Areas:
Data Scientist with LLM models, NLP, GenAI, ML - 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
Job Description:
Client is looking for a highly energetic and collaborative Senior Data Scientist with experience building enterprise level GenAI applications, designed and developed MLOps pipelines . The ideal candidate should have 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:
• 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.
DATA SCIENCE 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. DATA SCIENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DATA SCIENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract