AI/ML Consultant.

Strategic AdvisoryPartner with manufacturing leaders to identify business challenges and opportunities that can be addressed using AI/ML solutions.Develop and present AI/ML strategies tailored to manufacturing operations, including production optimization, predictive maintenance, and quality control.Use Case IdentificationAnalyze manufacturing workflows, supply chain operations, and data sources to uncover AI/ML use cases such as process automation, demand forecasting, and defect detection.Assess feasibility and ROI of proposed solutions, aligning with business objectives.Solution Design & ImplementationCollaborate 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.Data-Driven Decision MakingLeverage 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.Stakeholder EngagementAct as the liaison between business stakeholders and technical teams, ensuring clear communication and alignment on goals.Provide regular progress updates, insights, and recommendations to manufacturing leaders and executives.Change ManagementDevelop strategies to ensure smooth adoption of AI/ML solutions within manufacturing operations.Conduct workshops and training sessions to build organizational AI/ML literacy.Innovation & Continuous ImprovementStay updated on the latest AI/ML trends, tools, and methodologies in manufacturing, such as IoT, digital twins, and edge computing.Benchmark AI/ML implementations against industry best practices and recommend continuous improvements.QualificationsEducation:Bachelor’s degree in Business, Industrial Engineering, Data Science, or a related field. A Master’s degree or MBA is preferred.Experience10+ years of 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.Skills & ExpertiseManufacturing Knowledge:In-depth understanding of manufacturing processes, including production planning, supply chain management, and quality assurance.Familiarity with manufacturing systems such as MES, ERP, and SCADA.AI/ML ExpertiseStrong 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.Data AnalyticsProficiency 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.Business AcumenAbility to translate complex technical concepts into business language.Expertise in calculating ROI and presenting cost-benefit analyses to stakeholders.Collaboration & CommunicationStrong communication and interpersonal skills to engage with technical and non-technical stakeholders.Demonstrated ability to lead cross-functional teams and drive project success.Preferred QualificationsCertifications in AI/ML (e.g., AWS Certified Machine Learning, Google Cloud ML Engineer).Experience with advanced manufacturing technologies like digital twins, robotics, and IoT.Knowledge of compliance standards and regulations in the manufacturing sector