Overview
Remote
Depends on Experience
Contract - W2
Contract - Independent
Contract - 6 Month(s)
No Travel Required
Skills
search
Primary skills : Gemini AI experience
AI multi cloud experience
Experience in running AI services
cursor coding experience Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stacks. Experience with Data Science techniques. Knowledge of data warehousing concepts
including data warehouse technical architectures
infrastructure components
serverless-logic
transcription
and chat.
ETL/ELT and reporting/analytic tools and environments. Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java Ability to build API
Job Details
Primary skills : Gemini AI experience, AI multi cloud experience, Experience in running AI services, cursor coding experience
- Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stacks.
- Experience with Data Science techniques.
- Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments.
- Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java
- Ability to build API based scalable solutions and debug & troubleshoot software or design issues
- Hands on exposure to integrating with Gemini Pro 1.x using API endpoints.
- Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS
- Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market
- Basic data engineering skills to load structured & unstructured data from source systems to target data stores
- Work closely with Gen AI leads and other team members to address requirements from the product backlog
- Build and maintain data pipelines and infrastructure to support AI Solutions.
- Hands on exposure to using Google Cloud Platform services for storage, serverless-logic, search, transcription, and chat.
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