AI Engineer
1800 N Mason Rd Katy, TX 77449 US
Job Description
We’re seeking an AI Engineer to design, train, and deploy machine learning and deep learning models that power data-driven decisions across retail operations. You’ll work within a growing AI and analytics team that’s building the foundation of enterprise-scale AI—helping transform the way products are stocked, customers are served, and insights are delivered across stores and digital channels.
This is a hands-on, technical role for an engineer who enjoys building end-to-end solutions—from feature engineering to model deployment—and wants to apply cutting-edge AI to real-world retail challenges.
Key Responsibilities
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Design, develop, and deploy machine learning and deep learning models that support retail forecasting, personalization, and automation initiatives.
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Collaborate closely with data scientists, data engineers, and BI teams to deliver scalable AI solutions across supply chain, marketing, and customer analytics.
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Perform data preprocessing, feature engineering, and model evaluation to ensure performance and reliability.
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Integrate AI models into enterprise systems and cloud environments using modern deployment frameworks.
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Monitor model performance, implement retraining processes, and optimize accuracy over time.
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Document model architectures, training procedures, and evaluation metrics for reproducibility and governance.
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Stay current with advances in Generative AI, agentic frameworks, and RAG (retrieval-augmented generation)—and apply emerging techniques where applicable.
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Support responsible AI and data privacy practices throughout the model lifecycle.
Required Qualifications
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3+ years of experience building, training, and deploying ML/DL models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
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Strong programming skills in Python and familiarity with Jupyter, SQL, and data wrangling libraries (Pandas, NumPy, etc.).
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Hands-on experience with cloud AI platforms (Google Vertex AI, Azure ML, or AWS SageMaker).
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Solid understanding of data preprocessing, feature engineering, and model optimization.
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Experience working with MLOps practices—versioning, monitoring, CI/CD pipelines, and automated deployments.
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Excellent problem-solving, debugging, and collaboration skills.
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Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, or a related field.
Preferred Skills
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Experience applying AI to retail, e-commerce, or supply chain use cases (e.g., demand forecasting, product recommendations, customer insights).
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Exposure to Generative AI, RAG pipelines, and large language model (LLM) development.
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Familiarity with modern data architectures (data lake, data warehouse, ETL pipelines).
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Understanding of responsible AI, fairness, and compliance principles.
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Ability to work independently in a fast-paced environment while collaborating with cross-functional teams.