Data Scientist with Agentic AI

Not Interested
Bookmark
Report This Job

profile Job Location:

Woodland Hills, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

Hello;

Title: Data Scientist-Agentic AI

Location is Woodland Hills CA Onsite / Hybrid

Long Term

Data Science - Agentic AI

Must Have Skills

Skill 1 Yrs of Exp 12 - Data Science - Agentic Layer A2A frameworks and MCP Protocol

Skill 2 - Yrs of Exp 6 - AI/ML engineering specifically vector embeddings prompt engineering and context engineering

SKill 3 - Yrs Of Exp - 6 - programming skills in at least two of the following: Python Java Go. Proficiency in deploying solutions on Azure Cloud

SKill 4 - Yrs Of Exp - 6 - databases such as Azure AI Search Redis and Cosmos DB (Blob Storage and Iceberg are plus)

Skill 5 - Yrs of Exp - 6 - ability to design and manage Azure Functions and Azure Container Apps & cloud-native architecture scalability and performance optimization

Location - Woodland Hills CA

Onsite Requirement - Onsite/Hybrid

JD: We are looking for 8 Years of experienced Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol. Expertise in AI/ML engineering specifically vector embeddings prompt engineering and context engineering. Strong programming skills in at least two of the following: Python Java Go. Proficiency in deploying solutions on Azure Cloud. Experience with databases such as Azure AI Search Redis and Cosmos DB (Blob Storage and Iceberg are plus). Proven ability to design and manage Azure Functions and Azure Container Apps. Strong understanding of cloud-native architecture scalability and performance optimization.

Hello; Title: Data Scientist-Agentic AI Location is Woodland Hills CA Onsite / Hybrid Long Term Data Science - Agentic AI Must Have Skills Skill 1 Yrs of Exp 12 - Data Science - Agentic Layer A2A frameworks and MCP Protocol Skill 2 - Yrs of Exp 6 - AI/ML engineering specif...
View more view more

Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills