Hiring! AI Data Engineer (Python, AI/ML) - Minimum 15 Years' Experience is Mandatory

• Posted 2 hours ago • Updated 56 minutes ago
Full Time
Fitment

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Job Details

Skills

  • Python
  • AI/ML

Summary

Location: Tennessee, remote-OK
Role: AI Data Engineer
Mandatory Skills- Python, AI/ML
Retail domain experience is highly preferable.



JD:
We are seeking an experienced AI Data Engineer (15+ Years) to design, develop, and manage scalable data platforms that enable advanced analytics, Machine Learning (ML), and Generative AI solutions. The ideal candidate will build robust data pipelines, ensure data quality, and integrate AI/ML capabilities into enterprise data ecosystems.
Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  • Build and optimize data lakes, data warehouses, and AI-ready data platforms.
  • Develop ingestion, transformation, and orchestration frameworks using cloud-native technologies.
  • Prepare, cleanse, and engineer datasets for AI/ML and Generative AI workloads.
  • Integrate Large Language Models (LLMs), vector databases, embeddings, and RAG (Retrieval-Augmented Generation) pipelines into enterprise solutions.
  • Implement data governance, security, lineage, and quality controls.
  • Collaborate with Data Scientists, AI Engineers, Business Analysts, and Solution Architects.
  • Monitor, troubleshoot, and optimize data pipelines and platform performance.
  • Automate deployment, testing, and monitoring of data engineering workflows.
  • Create technical documentation and data dictionaries for enterprise data assets.
Required Skills
Technical Skills
  • Python, SQL, PySpark
  • ETL/ELT development
  • Data Modeling (Star Schema, Snowflake Schema)
  • Apache Spark, Databricks
  • Airflow, Dataflow, Informatica, ADF, Synapse, or equivalent tools
  • Relational & NoSQL Databases
  • Data Warehousing concepts
  • REST APIs and Microservices
  • Git, CI/CD, DevOps practices

AI & GenAI Skills
  • Machine Learning fundamentals
  • Data preparation for AI models
  • Vector Databases (Pinecone, ChromaDB, FAISS)
  • LLM Integration (OpenAI, Azure OpenAI, Gemini, Claude, etc.)
  • RAG Architecture
  • Embeddings and Semantic Search
  • Prompt Engineering fundamentals
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: 10439537
  • Position Id: 2026-2707
  • Posted 2 hours ago
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