Why This Role Stands Out
This hybrid role offers a fantastic opportunity to develop cutting-edge AI/ML data pipelines and contribute to innovative solutions, with a competitive hourly rate of $83. You'll thrive here if you're a mid-senior data engineer eager to expand your skills in cloud platforms, ETL/ELT, and vector databases while collaborating with a dynamic team. Don't miss out on this chance to grow your career with a reputable company!
Quick Overview
Job Description
Job Title: Data Engineer – AI/ML
Location: Dallas, TX
Duration: 6 Months + Extension
Bill Rate: $83/hour
Job Type: W-2 Contract
Client: To Be Discussed Later
Work Authorization:
- USC
- GC
- H-1B
- OPT-EAD
- GC-EAD
Job Description
Design, develop, and maintain scalable data pipelines for AI/ML applications.
Build ETL/ELT workflows to extract, transform, and load structured and unstructured data.
Develop data architectures and data models to support AI and Generative AI solutions.
Integrate data from multiple sources using APIs, databases, and cloud platforms.
Prepare, clean, and transform data for machine learning and analytics.
Support LLM and RAG applications by building data ingestion, processing, and retrieval pipelines.
Implement data quality, governance, security, and performance optimization.
Collaborate with data scientists, AI engineers, and business teams.
Deploy and monitor data pipelines using cloud and automation tools.
Experience building large-scale data pipelines and cloud data platforms.
Knowledge of machine learning workflows and MLOps.
Experience with vector databases such as Pinecone, FAISS, or Milvus.
Strong analytical, troubleshooting, and communication skills.
Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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