Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Designing, building, and productionizing AI and machine learning solutions in partnership with product, data science, and platform teams with an accent on cloud architecture, MLOps, and automation. Focus on operationalizing AI systems at scale using Microsoft Azure services and established AI design patterns.

Location: Houston, TX (4 days onsite/1 day remote). Must be based in the US.

Company

hirify.global provides contract opportunities.

What you will do

• Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions.
• Design and implement cloud-native AI architectures using Microsoft Azure services.
• Transform prototypes into production-ready, scalable solutions in collaboration with Data Scientists and other AI Engineers.
• Build, deploy, and operate enterprise-scale machine learning pipelines.
• Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teams.
• Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments.

Requirements

• 5+ years of experience in software engineering, AI engineering, or machine learning engineering roles.
• Proven experience delivering production AI or ML solutions in a cloud environment.
• Strong experience with Microsoft Azure, including AI/ML services and cloud-native architectures.
• Hands-on experience deploying and operating ML pipelines using Azure Machine Learning.
• Proficiency in Python and modern software engineering practices.
• Experience with automation and configuration management, including Ansible.
• Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems.
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).

Nice to have

• Experience with Microsoft Foundry.
• Experience implementing or operating agentic AI systems.
• Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory.
• Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing).

Culture & Benefits

• Ability to work independently as a contractor while integrating effectively with existing teams.
• Strong communication skills with the ability to explain complex technical concepts clearly.
• Results-oriented mindset focused on delivering business value quickly and reliably.