Job Title: Data Engineer – GCP (AI/ML & LLM)

Location: Charlotte NC

Employment Type: Full-time / Contract

Job Description

We are seeking a skilled Data Engineer with expertise in Google Cloud Platform (GCP), AI/ML, and Large Language Models (LLMs) to design, build, and optimize scalable data pipelines and AI-driven solutions. The ideal candidate will work closely with data scientists, ML engineers, and business stakeholders to enable advanced analytics and intelligent applications.

Key Responsibilities

Design, develop, and maintain scalable data pipelines on GCP
Build and optimize ETL/ELT workflows using tools like Cloud Dataflow, Dataproc, and BigQuery
Collaborate with AI/ML teams to deploy and support machine learning models in production
Integrate and manage LLM-based applications (e.g., prompt engineering, fine-tuning, RAG pipelines)
Develop data architectures supporting real-time and batch processing
Ensure data quality, governance, and security best practices
Optimize performance and cost of cloud-based data systems
Work with APIs and external data sources for ingestion and processing
Implement monitoring, logging, and alerting for data workflows

Required Skills

Strong experience with Google Cloud Platform (GCP) services
Hands-on experience with:
- BigQuery
- Cloud Storage
- Dataflow / Apache Beam
- Dataproc (Spark/Hadoop)
Proficiency in Python and SQL
Experience with ETL/ELT pipeline development
Knowledge of machine learning workflows and model deployment
Hands-on experience with LLMs (Large Language Models) such as GPT-based or open-source models
Understanding of:
- Prompt engineering
- Retrieval-Augmented Generation (RAG)
- Vector databases (e.g., Pinecone, FAISS)

Preferred Qualifications

Experience with Vertex AI on GCP
Familiarity with Docker, Kubernetes
Experience in Airflow / Cloud Composer
Knowledge of CI/CD pipelines
Exposure to data warehousing and data lake architectures
Understanding of MLOps practices

Skills: models,etl,cloud,google,ml,pipelines,google cloud,gcp,design,data

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