Artificial Intelligence; AI) Engineer

Position: Artificial Intelligence (AI) Engineer
Description We are looking for an Artificial Intelligence (AI) Engineer to join a Long-term Contract opportunity based in Houston, Texas. This position will focus on creating practical AI solutions that improve business outcomes, from model development through production support. The role blends hands-on engineering with cross-functional collaboration, helping teams adopt AI tools effectively while maintaining strong standards for privacy, security, and reliability.

Responsibilities:

- Build, test, and operationalize machine learning and predictive analytics solutions, ensuring they perform reliably from initial development through production use.

- Create and support data pipelines and system integrations that supply clean, usable data for AI models and related applications.

- Work with business stakeholders to define use cases, shape AI-driven workflows, and launch solutions using modern AI platforms and assistants.

- Provide end-user guidance through training sessions, practical documentation, and direct support so teams can apply AI tools with confidence.

- Act as a trusted internal advisor on applied AI by reviewing new technologies and identifying opportunities where they can deliver measurable business value.

- Convert business challenges into scalable technical approaches and present findings clearly to both technical teams and non-technical audiences.

- Promote responsible AI practices by emphasizing data protection, model quality, governance, and secure usage across initiatives.

- Collaborate with IT, data, and operational teams to prioritize, develop, and implement AI projects that align with organizational goals.

- Take on additional assignments as needed to support evolving project and business priorities. Requirements - Demonstrated experience developing, validating, and deploying machine learning models using real-world business data.

- Strong Python programming skills, including hands-on use of libraries such as pandas, Num Py, scikit-learn, and either Tensor Flow or PyTorch.

- Knowledge of AI assistants and workflow tools, including prompt design, evaluation methods, and business process integration.

- Experience with production model deployment, performance tracking, and MLOps practices that support stability and version control.

- Ability to design and maintain data pipelines within cloud or enterprise environments, with exposure to Microsoft Azure preferred.

- Solid understanding of relational databases and data transformation techniques used to prepare data for AI and analytics solutions.

- Familiarity with computer vision, detection models, or related AI applications is beneficial.

- Strong collaboration and communication skills, with the ability to work effectively across technical and business teams. Technology Doesn't Change the World, People Do.®

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit  for more information.

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