Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Building and supporting core AI, Data Science, and Machine Learning tools and infrastructure, developing scalable ML solutions on Azure. Focus on operationalizing ML and AI solutions, ensuring reliable and scalable deployments, and integrating generative AI or LLM-based capabilities.

Location: Hybrid/Onsite 4 days per week in Houston, TX

Company

hirify.global is a company providing staffing services.

What you will do

• Build and support core AI, Data Science, and Machine Learning tools, infrastructure, and services.
• Develop, deploy, and maintain machine learning models and pipelines.
• Leverage Azure cloud services to operationalize ML and AI solutions.
• Collaborate with data scientists, cloud engineers, and DevOps teams to ensure reliable and scalable deployments.
• Support data management and model lifecycle activities across environments.

Requirements

• 5 years of professional experience in Machine Learning, Data Science, or AI ‑focused engineering roles.
• 2+ years of hands‑on experience building and deploying machine learning solutions in a cloud environment (Azure preferred).
• Strong Python experience for data analysis, machine learning model development, and production‑grade code.
• Hands‑on experience with Azure Cloud fundamentals, including compute, storage, networking, and security concepts.
• Practical experience using Azure Machine Learning for model training, experimentation, deployment, and monitoring.
• Experience with Azure DevOps for CI/CD pipelines, source control, and release management supporting ML workloads.