Onsite AI/ML Engineer — Production AI & MLOps Lead

ESP Enterprises Inc.; Houston (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

ESP Enterprises Inc. in Houston, TX is seeking an experienced AI/ML Engineer to lead development and deployment of enterprise AI solutions.

This hands-on role spans AI/ML engineering, data engineering, MLOps, and enterprise data architecture, focusing on agentic AI and autonomous workflows. You will design, build, and deploy agentic AI solutions, manage ML pipelines in Azure/AWS/GCP, ensure data quality, governance, and monitor models in production; collaboration across IT, finance, HR,

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of experience in machine learning engineering, AI development, data science, or a closely related field.
• Demonstrated experience deploying machine-learning models into production.
• Strong Python development skills.
• Experience with TensorFlow, PyTorch, and/or Scikit-learn.
• Hands-on experience with cloud platforms such as Azure, AWS, or GCP.
• Understanding of MLOps, including CI/CD, model monitoring, deployment, and versioning.
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Experience with data governance, data quality, and enterprise data architecture.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Must currently reside in the Houston area and be able to work onsite.

Responsibilities

• Design, build, and deploy agentic AI solutions capable of executing multi-step business workflows.
• Identify high-impact AI opportunities across IT, Finance, HR, Operations, and other business functions.
• Build and maintain production ML pipelines covering data ingestion, model training, deployment, monitoring, and optimization.
• Deploy and manage AI/ML solutions within Azure, AWS, or GCP environments.
• Improve the quality and consistency of enterprise data used by AI systems.
• Develop data governance, taxonomy, metadata, and data-quality standards.
• Monitor AI models in production for performance, reliability, and scalability.
• Partner with engineering, data, IT, and business teams to translate business problems into technical AI solutions.
• Serve as a technical resource on emerging AI/ML technologies, tools, and best practices.
• Help establish scalable standards for AI adoption across the organization.

Skills

Python development

ML engineering

Communication

Education

Bachelor's or Master's in CS/DS/Engineering

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

ESP Enterprises Inc. in Houston, TX is seeking an experienced AI/ML Engineer to lead development and deployment of enterprise AI solutions.

This hands-on role spans AI/ML engineering, data engineering, MLOps, and enterprise data architecture, focusing on agentic AI and autonomous workflows. You will design, build, and deploy agentic AI solutions, manage ML pipelines in Azure/AWS/GCP, ensure data quality, governance, and monitor models in production; collaboration across IT, finance, HR,