What You’ll Do
- Industrial AI:
- Build and deploy AI/ML models for manufacturing KPIs such as predictive maintenance, process optimization, yield improvement, and quality prediction.
- Integrate AI into ISA-95-based architectures, MES, SCADA, and historian systems.
- Design solutions leveraging time-series data, sensor readings, and process control logic.
- Work directly with process engineers and continuous improvement teams to validate and refine models on the shop floor.
- Embed AI insights into Microsoft Fabric pipelines, Azure Synapse, and Power BI dashboards.
- Generative AI & Automation:
- Develop GenAI assistants and copilots to improve workflows in HR, Finance, Engineering, and Operations.
- Implement agentic AI workflows for automated document routing, task triage, and intelligent recommendations.
- Combine reasoning, data querying, and task execution in multi-step AI pipelines.
- Infrastructure & MLOps:
- Design scalable, reusable machine learning pipelines using Azure ML, Databricks, and Fabric notebooks.
- Set up robust model governance (drift monitoring,



explainability, lineage tracking).
- Deploy models using CI/CD for AI, model registries, and Azure Containers.
- Evaluate and integrate third-party AI tools, LLM platforms, and vendor solutions.
- Collaboration & Enablement:
- Partner with business stakeholders to identify and prioritize AI use cases with measurable ROI.
- Create internal demos, documentation, and training materials to promote AI adoption across departments.
- Contribute to shaping the company’s AI roadmap alongside the VP Data & AI.

What You Bring
- 5+ years in ML, data science, or AI engineering with production deployment experience.
- Strong Python skills and experience with ML frameworks (Scikit-learn, XGBoost, PyTorch, TensorFlow).
- Hands-on with Azure ML, Fabric, Synapse, and MLOps tooling.
- Familiarity with MCP (Model Context Protocol), agentic AI, vector databases, and embedding search.
- Bonus: Industrial AI experience, IS

📌 Artificial Intelligence Specialist (Medellín)
🏢 Kruger
📍 Medellín