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
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 4, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - 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 • 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 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/