Ampstek

Cloud Gemini AI Savy

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Gemini AI Savvy contractor, remote, with a pay rate of "unknown" and a focus on Gemini AI and multi-cloud experience. Key skills include programming in Python or PySpark, data engineering, and LLM implementation.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 4, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#GCP (Google Cloud Platform) #Spark (Apache Spark) #Data Pipeline #"ETL (Extract #Transform #Load)" #PySpark #Data Science #Data Warehouse #Storage #Cloud #AI (Artificial Intelligence) #Scripting #Langchain #Java #Programming #API (Application Programming Interface) #Python #Databases #Scala #Data Engineering
Role description
Role: Cloud Gemini AI Savy Location: Remote Job Type: Contractor Job Description: Primary skills : Gemini AI experience, AI multi cloud experience, Experience in running AI services, cursor coding experience β€’ Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stacks. β€’ Experience with Data Science techniques. β€’ Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. β€’ 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 β€’ Ability to build API based scalable solutions and debug & troubleshoot software or design issues β€’ Hands on exposure to integrating with Gemini Pro 1.x using API endpoints. β€’ Thorough understanding of prompt engineering; implementation exposure to LLM agents like LangChain & vector databases Pinecone or Chroma or FAISS β€’ Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into market β€’ Basic data engineering skills to load structured & unstructured data from source systems to target data stores β€’ Work closely with Gen AI leads and other team members to address requirements from the product backlog β€’ Build and maintain data pipelines and infrastructure to support AI Solutions. β€’ Hands on exposure to using GCP services for storage, serverless-logic, search, transcription, and chat. Thanks Rakesh Pathak | Senior Technical Recruiter Phone: 609-360-2642 Rakesh.pathak@ampstek.com| www.ampstek.com https://www.linkedin.com/in/rakesh-kumar-pathak-00b039167/