Role description 1 The Context Purpose of the Job TSL is seeking an AI Engineer to lead our advancement toward Industry 5 0 by developing and implementing a comprehensive AI strategy focused on creating innovative operating models that seamlessly integrate human and machine intelligence This key role is centered on writing code analyzing data and building robust ML and AI pipelines to drive significant improvements in business performance The candidate should be proficient in Python data science ML Time series optimisation classification regression problems and deep learning modules CNN RNN LSTM as well as cutting-edge Generative AI concepts like Agentic Design RAG prompt-to-template strategies and chunking strategies This position requires expertise in decentralized architectures proficiency with SQL NoSQL and PostgreSQL databases and the ability to deploy solutions across multi-cloud platforms GCP AWS Azure leveraging serverless technologies like Cloud Run Cloud Functions and Lambda alongside Kubernetes for container orchestration Key Objective Overall Job Responsibility Main Purpose Strategic AI Vision Leadership Develop and champion a clear AI vision by conceptualizing autonomous business models that leverage Generative AI including Agentic Design and RAG architectures to redefine the TSL value chain Collaborate with stakeholders to define solution objectives deliverables and timelines Hands-On AI Implementation Deployment Lead the end-to-end design development and deployment of AI solutions using Python and its data science ecosystem Architect and build robust ML AI pipelines and deploy them on multi-cloud serverless platforms GCP Cloud Run AWS Lambda Azure Functions and Kubernetes GKE Advanced Model Development Innovation Direct the AI learning trajectory by applying Deep Learning models CNN RNN LSTM and advanced Generative AI techniques including creative chunking strategies and prompt-to-template frameworks to solve complex business challenges Technical Le