Defines and delivers AI products and capabilities to improve operational efficiency, decision‑making, customer experience, and employee productivity across ProTrans International’s U.S. and Mexico operations.
Responsibilities
Partner with business leaders and users to identify, prioritize, and validate AI use cases
Identify and deliver AI solutions supporting transportation management, shipment visibility and execution, pricing, carrier performance, customer service, exception management, document processing, and operational automation
Translate business problems into product requirements, user stories, acceptance criteria, model inputs and outputs, fallback logic, process changes, and measurable success criteria
Partner with data engineering, analytics, data science, architecture, and security teams to define requirements for data quality, availability, governance, labeling, pipelines, and feedback loops
Design and oversee discovery, experiments, proofs of concept, pilots, controlled rollouts, launch planning, adoption, and continuous improvement
Requirements
Bachelor’s degree in Product Management, Business, Information Technology, Computer Science, Data Science, Engineering, or a related field, or an equivalent combination of education and experience
Responsible for the design, development, and implementation of artificial intelligence systems and algorithms using Python and Machine Learning to create solutions for pattern recognition, decision making, character recognition, and natural language processing.
Responsibilities
Design, develop, and implement artificial intelligence systems and algorithms.
Use programming and Machine Learning to create intelligent solutions.
Perform pattern recognition, decision making, character recognition, and natural language processing.
Information recovery and data extraction from text via OCR.
Evaluate and monitor models using cloud DevOps tools.
Lead the design, development, and deployment of advanced AI solutions, including generative and agentic technologies, to deliver business value for clients.
Responsibilities
Design and develop AI solutions leveraging LLMs, embeddings, RAG, and agentic frameworks
Build and evaluate machine learning models using statistical, supervised, unsupervised, and deep learning techniques
Implement and monitor AI systems in production using MLOps and LLMOps practices
Collaborate with AI architects, software engineers, data engineers, and business stakeholders
Provide technical leadership and mentorship to junior data scientists
Requirements
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related technical field
