Artificial Intelligence (AI), Data Management, Data Quality, Ecosystems, Informatica, Machine Learning, Retail, Scalable System Development
Role: AI Data Engineer
Mandatory Skills- Python, AI/ML
Retail domain experience is highly preferable.
Location: Tennessee, remote-OK
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.
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, Clienture OpenAI, Gemini, Claude, etc.)
RAG Clienthitecture
Embeddings and Semantic SeClienth
Prompt Engineering fundamentals
R
Resource Logistics, Inc.
500 to 999 employees
Medical Devices and Supplies