The company is seeking an AI/ML Business Consultant to drive digital transformation and operational excellence within the manufacturing sector. The goal is to enhance productivity, reduce costs, and improve decision-making across the value chain by implementing AI/ML solutions.
Requirements
- Strong understanding of AI/ML concepts, tools, and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with manufacturing-specific AI applications like predictive maintenance, defect detection, and process optimization.
- Proficiency in data analysis and visualization tools such as Power BI, Tableau, or Qlik.
- Experience with big data and IoT platforms like AWS IoT, Azure IoT Hub, or Google Cloud IoT.
- Familiarity with manufacturing systems such as MES, ERP, and SCADA.
- Experience with advanced manufacturing technologies like digital twins, robotics, and IoT.
- Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Cloud ML Engineer).
Responsibilities
- Develop and present AI/ML strategies tailored to manufacturing operations, including production optimization, predictive maintenance, and quality control.
- Analyze manufacturing workflows, supply chain operations, and data sources to uncover AI/ML use cases such as process automation, demand forecasting, and defect detection.
- Collaborate with technical teams to design AI/ML models for manufacturing-specific applications, ensuring scalability and reliability.
- Oversee the deployment and integration of AI/ML solutions into manufacturing systems, such as MES, SCADA, or ERP platforms.
- Leverage data analytics and AI to provide actionable insights that optimize production schedules, reduce downtime, and enhance operational efficiency.
- Drive adoption of predictive and prescriptive analytics for better decision-making.
- Stay updated on the latest AI/ML trends, tools, and methodologies in manufacturing, such as IoT, digital twins, and edge computing.
Other
- Experience in business consulting, with at least 3 years focused on AI/ML solutions in manufacturing.
- Proven track record of delivering measurable results through AI/ML initiatives in the manufacturing sector.
- In-depth understanding of manufacturing processes, including production planning, supply chain management, and quality assurance.
- Ability to translate complex technical concepts into business language.
- Expertise in calculating ROI and presenting cost-benefit analyses to stakeholders.
