Job Description
Job DescriptionWe 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.• 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, NumPy, scikit-learn, and either TensorFlow 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.