GenAI & Databricks Architect

Acestack Llc

Louisville, KY, United States

6 days ago

Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Compensation

$106,900.0 - $147,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Applications Architecture Software Applications Microsoft Azure BigQuery Cloud Computing Continuous Integration Data Validation Data Transformation Python (Programming Language) Machine Learning

+19 more

Tensorflow Azure Machine Learning Azure Data Lake Software Safety Software Deployment SQL Databases Unstructured Data Data Logging Google Cloud Pytorch Retrieval-Augmented Generation Appian Build Server Data Lakes AI Platforms Machine Learning Operations Terraform Data Pipelines Databricks

Job description

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., Become a part of our caring community The Senior Application Architect designs and develops IT applications architecture solutions to business problems in alignment with the enter…

3 hours ago, Job Title: Appian Architect Duration: 6-12 months Location: Onsite - Louisville, KY Work Type: Rate: Pay range offered to a successful candidate will be based on several factor…
3 hours ago
Apply easily +

Requirements

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