Negotiable
Outside
Remote
USA
Summary: The role of Cloud Gemini AI Savy involves leveraging Gemini AI and multi-cloud experience to run AI services effectively. The position requires extensive implementation experience in data analytics and proficiency in programming languages relevant to Gen AI orchestration. The candidate will work closely with Gen AI leads to build and maintain data pipelines and infrastructure for AI solutions. This is a remote position based in the USA.
Key Responsibilities:
- 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.
Key Skills:
- Gemini AI experience.
- AI multi-cloud experience.
- Experience in running AI services.
- Cursor coding experience.
- Excellent programming skills in Python, PySpark, or Java.
- Data Science techniques knowledge.
- Data warehousing concepts knowledge.
- API integration skills.
- Prompt engineering understanding.
- Basic data engineering skills.
- Experience with Google Cloud Platform services.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role: Cloud Gemini AI Savy
Location: Remote- USA.
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.
Regards,
Radiantze Inc