Full-Stack AI/ML Engineer - Irving, TX (In Person Interview)

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2

Skills

Generative Artificial Intelligence (AI)
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Python
Google Cloud Platform
Kubernetes
LangChain
Large Language Models (LLMs)
Docker
Continuous Integration
Extract
Transform
Load
Data Acquisition
Data Analysis
Data Science
Artificial Intelligence
Cloud Computing
Database
Documentation
EDA
Agile
Amazon Web Services
Cloud Storage
Communication
Continuous Delivery
Pandas
PyTorch
Scrum
Semantics
Sprint
Good Clinical Practice
Management
Microservices
Microsoft Azure
NumPy
SQL
TensorFlow
UPS
Vector Databases
scikit-learn

Job Details

Required skills:

  • 5+ years of hands-on experience in data science, ML engineering, or applied AI with production deployments.
  • Strong proficiency in Python (Pandas, NumPy, Scikit, LangChain, and LangGraph, etc.) and SQL.
  • Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Skilled in data acquisition, ETL pipelines, and feature engineering using APIs, cloud storage, or databases.
  • Proficiency in FastAPI for serving models as microservices.
  • Experience building and managing MLOps pipelines with tools like Docker, Kubernetes, and CI/CD.
  • Hands-on experience with cloud platforms (Azure, AWS, or Google Cloud Platform) and their ML/AI services.
  • Working knowledge of Large Language Models (LLMs) and Generative AI frameworks
  • Strong understanding of EDA, model validation, and experiment tracking.
  • Familiarity with vector databases for semantic retrieval or RAG pipelines.
  • Comfortable working in Agile/Scrum teams participating in sprint planning, stand-ups, reviews, and retrospectives.
  • Collaborative team player with excellent communication and documentation skills.
  • Demonstrated ability to take AI/ML models from prototype to production and continuously improve them.
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