Senior AI ML ENGINEER

Job Title: 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