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AI/ML Architect

Job

Virtuous Tech Inc

Texas City, TX (In Person)

Full-Time

Posted 6 days ago (Updated 4 days ago) • Actively hiring

Expires 6/20/2026

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Job Description

Key Responsibilities System Design:
Architects design the entire infrastructure for ML and LLM workflows, ensuring systems scale for high-volume, real-time inferences.
MLOps & Pipelines:
They implement continuous integration/continuous deployment (CI/CD) specifically for ML, integrating tools like Kubeflow, MLflow, and feature stores to automate training and deployment.
Model Governance & Evaluation:
Overseeing the training, fine-tuning, and evaluation of models to ensure accuracy, compliance, and risk management.
Cross-Functional Leadership:
They collaborate with data scientists, data engineers, and security teams to operationalize prototypes into viable business products.
Essential Skills & Tech Stack Cloud Platforms:
Deep expertise in deploying models using enterprise cloud infrastructure such as AWS SageMaker ,
Azure AI ML Frameworks:
Proficiency with frameworks like PyTorch, TensorFlow, and modern LLM orchestration tools for building agentic AI systems.
Data Engineering:
Mastery of data lakes, real-time data pipelines, and data governance.
Core Concepts:
Advanced knowledge of prompt engineering, fine-tuning strategies, and model monitoring to prevent data drift in production.

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