Data Scientist (Onsite Plano) - AI/ML, APIs & Azure

American IT Systems; Plano (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

American IT Systems in Plano, TX is seeking a Data Scientist with 4+ years in AI/ML to join our on-site team on Day1. You will develop data-driven features, build and deploy APIs with FastAPI, and collaborate with product teams to enable scalable analytics.

The ideal candidate has strong Python and SQL skills, expertise in ML modeling, cloud experience with Azure, and familiarity with CI/CD, Docker, and enterprise tooling. Excellent communication required for product-facing work.

Qualifications

• 4+ years of AI/ML engineering, applied data science, or related roles.
• Strong proficiency in Python and SQL.
• Solid foundation in machine learning (classification, anomaly detection, model evaluation).
• Hands-on experience with AI systems and model deployment.
• Experience building and deploying APIs/services (FastAPI or similar).
• Familiarity with containerization (Docker) and CI/CD.
• Experience working in cloud environments (Azure).
• Strong communication skills and comfort working in product-facing and enablement roles.
• Experience building internal platforms, shared services, or enablement frameworks.
• Exposure to M365 Copilot extensibility or enterprise productivity tooling.
• Familiarity with ML/LLMOps tools (model registries, experiment tracking, prompt/version management).
• Knowledge of Responsible AI, governance, and enterprise data privacy practices.
• Experience in regulated industries (insurance, auto warranty, financial services).

Skills

Python

SQL

AI/ML engineering

Machine learning

APIs/Services

FastAPI

Docker

Azure

CI/CD

Responsible AI

Governance

Communication

Tools

Docker

FastAPI

Job description

American IT Systems in Plano, TX is seeking a Data Scientist with 4+ years in AI/ML to join our on-site team on Day1. You will develop data-driven features, build and deploy APIs with FastAPI, and collaborate with product teams to enable scalable analytics.

The ideal candidate has strong Python and SQL skills, expertise in ML modeling, cloud experience with Azure, and familiarity with CI/CD, Docker, and enterprise tooling. Excellent communication required for product-facing work.