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USA_Developer

Varite · Louisville, KY

Strong hiring record · median 6 days open

100100

Hiring signal

Actively hiring

Still listed on the employer's own board · publishes a salary range · How we score

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  • Still listed on the employer's own board
  • Publishes a salary range

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USA_Developer at Varite. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Pay Rate Range; $ 68.18 - 69.69/hr.

Job Description

Google Gen AI cloud| Databricks Architect

Must Have Technical/Functional Skills

  • Design, delivery, and implementation of Google Cloud Platform (GCP) infrastructure and solutions.
  • Architect design and implement large‐scale migration pipelines from on‐prem systems to Azure Data Lake Storage (ADLS).
  • Architect experience in generating data pipelines in Azure ADF

GCP Expertise

Strong knowledge of GCP AI/ML services and infrastructure.

AI/ML Frameworks

Proficiency with TensorFlow or PyTorch.

Technical Skills

Experience with Python, data modeling, SQL, and APIs.

Infrastructure as Code

Experience with Terraform for automation.

Experience

Proven ability in delivering AI/ML solutions in a cloud environment

  • Experience with performing analytics on data for stakeholders.
  • Experience in ingesting data from different sources using in Azure ADF
  • Ensure reliable handling of high‐volume unstructured data with performance and cost efficiency.
  • Implement data quality checks, logging, and traceability to support audit and compliance needs.
  • Experience in transforming data using Azure Databricks & Delta lake

Roles & Responsibilities

Architecture & Design

Design enterprise-grade AI platforms, including RAG (Retrieval Augmented Generation) and agentic solutions.

GCP Implementation

Develop AI models using Vertex AI and Gemini, ensuring security and performance.

Pipeline Development

Build and manage data pipelines, model lifecycle, CI/CD, and MLOps/LLMOps with Cloud Build and Vertex AI Pipelines.

Cloud Infrastructure

Utilize GKE, Cloud Run, and BigQuery for robust application deployment.

Strategy & Governance

Implement AI safety features, monitor model performance, and manage costs.

Generic Managerial Skills, If any

Experience working in agile development projects

Skills

AI & Gen AI - Products & Tools

Experience Required

8-10 years

Skills

Category

Name

Required

Importance

Experience

SkillCategoryTest1_MN

AI & Gen AI - Products & Tools

Yes

1

>7 years

Skills

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