Artificial Intelligence Specialist
hace 4 días
Join us as Kruger's first dedicated AI Specialist
—a hands-on, cross-functional role building AI solutions for both manufacturing operations and enterprise Generative AI (GenAI) use cases. You'll design, develop, and deploy AI models and applications in a Microsoft Azure and Fabric environment, shaping how AI is adopted across the business.
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. - Build LLM-powered applications using
Retrieval-Augmented Generation (RAG)
, prompt chaining, and fine-tuning. - 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, ISA-95 knowledge, or LLM orchestration tools (LangChain, Semantic Kernel).
Why Join Us
- Be the
founding AI specialist
in a modern, data-first manufacturing enterprise. - Work across manufacturing, supply chain, finance, HR, and engineering datasets.
- Access top-tier AI tools and platforms, including Microsoft Fabric and Azure AI.
- Help shape a high-performance, human-centered AI culture from the ground up.
-
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