Senior AI & Data Analytics Architect - Atlanta GA, Hybrid(3 days Onsite). In-person is mandatory and preferred only locals. Must have strong experience in Python, SQL, Machine Learning, Deep Learning, NLP, Generative AI, GPT, Claude, Gemini, Llama, Mistral, Prompt Engineering, RAG, AI Agents, Fine-Tuning, LangChain, LlamaIndex, MLflow, TensorFlow, PyTorch, FastAPI, Data Modeling, ETL/ELT, Data Warehousing, Data Lakes, Lakehouse Architecture, Azure and/or Google Cloud Platform, AI Governance, Model Monitoring, A/B Testing, Performance Benchmarking.

Atlanta, GA, US • Posted 2 hours ago • Updated 2 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
On-site
Depends on Experience
Company Branding Image
Fitment

Dice Job Match Score™

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Job Details

Skills

  • A/B Testing
  • Advanced Analytics
  • Analytics
  • Artificial Intelligence
  • Benchmarking
  • Cloud Computing
  • Collaboration
  • Data Analysis
  • Data Modeling
  • Data Quality
  • Data Warehouse
  • Deep Learning
  • ELT
  • Extract
  • Transform
  • Load
  • Forecasting
  • Generative Artificial Intelligence (AI)
  • Good Clinical Practice
  • Google Cloud Platform
  • LangChain
  • LlamaIndex
  • Machine Learning (ML)
  • Meta-data Management
  • Microsoft Azure
  • Natural Language Processing
  • Optimization
  • Performance Appraisal
  • Predictive Modelling
  • Prompt Engineering
  • PyTorch
  • Python
  • Real-time
  • SQL
  • TensorFlow
  • Use Cases
  • Vector Databases

Summary

Senior AI & Data Analytics Architect
Location: Hybrid (3 days onsite) Experience: 12+ Years
Key Responsibilities
* Design and implement AI/ML and Generative AI solutions using LLMs, RAG, AI Agents, and Vector Databases.
* Develop advanced analytics models including forecasting, predictive modeling, and optimization solutions.
* Architect modern cloud-based data platforms, data lakes, ETL/ELT pipelines, and real-time data solutions.
* Establish AI governance, model monitoring, performance evaluation, and responsible AI practices.
* Collaborate with business and technology stakeholders to identify and deliver high-impact AI and analytics use cases.
* Lead enterprise data strategy, governance, data quality, and metadata management initiatives.
Required Skills
* Python, SQL
* Machine Learning, Deep Learning, NLP, Generative AI
* GPT, Claude, Gemini, Llama, Mistral
* Prompt Engineering, RAG, AI Agents, Fine-Tuning
* LangChain, LlamaIndex, MLflow, TensorFlow, PyTorch, FastAPI
* Data Modeling, ETL/ELT, Data Warehousing, Data Lakes, Lakehouse Architecture
* Azure and/or Google Cloud Platform
* AI Governance, Model Monitoring, A/B Testing, Performance Benchmarking

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10423210A
  • Position Id: 8991890
  • Posted 2 hours ago

Company Info

About Keylent

We established Keylent to provide the Key Talent that our clients seek. We are all about People. About Passion. Professional and Process driven.



We have been involved with the industry for over 2 decades and have seen the up's and down's. We have weathered bad times and enjoyed good times by putting our client needs ahead of ours. We continue to do the same thing.



We take great care of our Talent Acquisition and Administrative staff who in turn put in their best work to fulfill our Consultant and Client needs.



Our Clients and our Consultants have a variety of choices and we are thankful that they have chosen Keylent.


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Contact the job poster
MA

Mamatha Annapureddy

Recruiter @ Keylent
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