AI/ML Architect

American IT Systems • Plano, TX

1d • Hybrid

About The Position

An AI/ML Architect designs and leads the development of artificial intelligence and machine learning solutions that align with business objectives. This role involves creating scalable AI/ML architectures, selecting appropriate algorithms and technologies, and guiding data science and engineering teams to deliver impactful AI-driven products.

Requirements

• Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, or related field.
• Proven experience as an AI/ML Architect, Data Scientist, or Machine Learning Engineer.
• Strong expertise in machine learning algorithms, deep learning, natural language processing, and computer vision.
• Proficiency with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Experience with cloud AI /ML services (AWS SageMaker, Google AI Platform, Azure ML).
• Knowledge of data engineering, big data technologies, and data pipeline design.
• Strong programming skills in Python, R, or Java.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML workflows.
• Strong knowledge of machine learning algorithms.
• Proven experience with deep learning.
• Expertise in Natural Language Processing (NLP).
• Expertise in Computer Vision.
• Hands-on proficiency with TensorFlow.
• Hands-on proficiency with PyTorch.
• Hands-on proficiency with Scikit-learn.
• Experience with at least one major cloud ecosystem: AWS SageMaker, Google AI Platform, Azure ML.
• Strong coding background in Python.
• Strong coding background in R or Java.
• Mandatory understanding of data workflows.
• Mandatory understanding of data pipeline design & orchestration.
• Mandatory understanding of big data technologies (e.g., Spark, Hadoop, Kafka).
• Mandatory understanding of data preprocessing and feature engineering at scale.
• Clear ability to architect scalable AI/ML systems.
• Clear ability to architect model deployment pipelines.
• Clear ability to architect real-time or batch inference systems.
• Clear ability to architect integration with existing enterprise infrastructure.

Nice To Haves

• Other modern ML libraries as needed.
• Azure ML (important if your company is MS-driven).

Responsibilities

• Designs and leads the development of artificial intelligence and machine learning solutions that align with business objectives.
• Creates scalable AI/ML architectures.
• Selects appropriate algorithms and technologies.
• Guides data science and engineering teams to deliver impactful AI-driven products.
• Builds end-to-end AI/ML models (data prep -> training -> deployment -> monitoring).
• Architects scalable AI/ML systems.
• Architects model deployment pipelines.
• Architects real-time or batch inference systems.
• Architects integration with existing enterprise infrastructure.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior