For a company like DPV Transportation, hiring an AI specialist isn’t just about finding someone who can “code AI” — it’s about getting someone who can translate AI capabilities into practical, measurable business outcomes. Position Summary We are seeking an AI Specialist to lead the design, development, and deployment of AI-driven solutions to optimize operational efficiency, improve customer experience, and create new revenue streams within our transportation and logistics business. This role will bridge the gap between business needs and cutting-edge AI applications, ensuring solutions are practical, scalable, and deliver ROI. Key Responsibilities - AI Strategy & Roadmap - Partner with leadership to identify high-value AI use cases across operations, customer service, fleet management, marketing, and HR. - Develop an AI adoption roadmap aligned with business goals and regulatory requirements. - Solution Development - Build, fine-tune, and deploy AI models for: - Predictive maintenance for buses and vehicles - Route optimization and scheduling - Driver performance and safety analysis - Demand forecasting and pricing optimization - Intelligent customer support/chatbots - Integrate AI with existing ERP, dispatch, and CRM systems (e.g., NetSuite). - Data Management - Design and maintain pipelines for data collection, cleaning, and labeling. - Ensure compliance with data privacy laws and industry regulations. - Vendor & Tool Evaluation - Assess and integrate third-party AI tools and APIs where cost-effective. - Manage relationships with AI service providers. - Performance Monitoring - Set KPIs and measure AI system performance. - Continuously refine models based on feedback and performance data. - Team Enablement - Educate staff on AI tools and workflows to encourage adoption. Required Skills & Qualifications - Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field. - 3–5+ years of hands-on AI/ML model development experience (ideally in logistics, transportation, or fleet-heavy industries). - Strong knowledge of: - Python, TensorFlow/PyTorch, Scikit-learn - Data pipeline tools (Airflow, DBT, Snowflake, etc.) - API integration and cloud AI services (AWS SageMaker, Azure AI, Google Vertex AI) - Experience with predictive analytics, NLP, and optimization algorithms. - Understanding of fleet telematics and IoT data (a big plus). - Ability to translate complex AI concepts into business-friendly language. - Strong problem-solving and project management skills. Preferred Qualifications - Experience with transportation scheduling software and ERP integration. - Knowledge of geospatial data analysis and mapping APIs. - Prior work on AI-based customer experience solutions. - Track record of delivering projects with measurable ROI. Tipo de puesto: Tiempo completo Experiencia: - AI Implemetation: 2 años (Deseable) - Coding: 3 años (Obligatorio) Idioma: - Inglés (Obligatorio) Ubicación: - Colombia (Obligatorio)