AI Engineer (Commercial & MTO)

• Commercial AI Strategy: Collaborate with business leaders and product managers to map organizational challenges to high-impact AI/ML use cases
• Model Deployment & API Integration: Transform trained machine learning models into robust, scalable, production-ready APIs that integrate seamlessly with enterprise systems
• Workflow Automation (MTO): Build multi-agent AI systems, workflows, and Retrieval-Augmented Generation (RAG) architectures to optimize Make-To-Order (MTO) production pipelines and e-commerce supply chains
• Data Pipelines & Ingestion: Develop and manage infrastructure to collect, clean, and transform unstructured data for AI model consumption
• Performance Monitoring: Maintain and continuously optimize deployed models for accuracy, reliability, and cost-efficiency in live production environments

7+ years of advanced coding skills in Python, SQL, and Java/Scala. Proficiency in ML frameworks like PyTorch or TensorFlow, and frameworks for building workflows like LangChain. 5+ years of experience deploying models using cloud platforms such as AWS, Azure, or Google Cloud (GCP), along with CI/CD pipelines. 5+ years of ability to explain complex AI outputs to C-suite executives and non-technical stakeholders to influence commercial decision-making. Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a closely related quantitative field.