
Industrial Data Strategist
5 days ago
As an AI-driven contextualization leader, you will play a pivotal role in shaping the future of industrial data management.
- Define Product Strategy: Develop and own the product vision and strategy for AI-driven contextualization, ensuring alignment with industry trends and customer needs.
- Engage with Stakeholders: Collaborate with customers, engineering teams, and data scientists to deeply understand their problems, pain points, and workflows related to digitizing and connecting data.
- Translate Vision to Execution: Author detailed product requirements and user stories for the engineering team, ensuring a clear and shared understanding of goals.
- Drive AI Adoption: Lead the adoption of advanced machine learning techniques, including computer vision models (e.g., Faster R-CNN, YOLO, Siamese Networks).
- Champion Mindset Shift: Drive the transition from manual, deterministic methods to intelligent, probabilistic, and agentic workflows that can self-correct and optimize based on user-defined expectations.
The ideal candidate has a strong background in AI/ML, experience in the industrial sector, and a proven track record of managing complex technical products. They should have expertise in cloud computing, multi-cloud solutions, and technical communication.
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