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Artificial Intelligence Consultant

2 months ago


Rajkot, India Silver Pumps & Motors Full time

Job Description:


We are seeking an experienced and innovative AI Transformation Consultant to lead the integration of artificial intelligence (AI) across all core functions of our manufacturing organization. The ideal candidate will have a strong background in AI technologies and data analytics, with a focus on developing AI-powered dashboards and decision-making tools to support leadership in making informed, data-driven decisions. This role will involve transforming traditional processes across HR, accounting, production, supply chain management (SCM), new product development (NPD), digital marketing, and more.



Key Responsibilities:


  • Develop and implement a comprehensive AI integration strategy that aligns with business goals and objectives.
  • Identify and lead AI-driven opportunities to optimize processes across HR, accounting, production, SCM, NPD, and marketing.
  • Design and implement AI-powered dashboards to provide real-time, data-driven insights for management, helping to facilitate informed decision-making.
  • Collaborate with the management team to ensure data analytics are utilized effectively in decision-making processes.
  • Lead projects that leverage machine learning, predictive analytics, and automation to enhance manufacturing processes, supply chain efficiency, and production optimization.
  • Work closely with the IT and digital teams to ensure seamless implementation of AI tools, data analytics platforms, and decision support systems.
  • Provide training and upskilling to internal teams on AI and data analytics tools.
  • Continuously research and evaluate new AI tools and technologies to keep the organization at the cutting edge of industry advancements.
  • Ensure all AI initiatives comply with relevant regulations, ethical standards, and data privacy requirements.


AI-Driven Decision-Making & Dashboard Development:


  • Create AI-driven dashboards that consolidate data from multiple departments, providing the management team with actionable insights.
  • Use predictive analytics to forecast trends in production, demand, and supply chain logistics, helping to mitigate risks and improve operational efficiency.
  • Implement AI tools to analyze large datasets from various functions (HR, SCM, production, etc.) to make more informed, timely business decisions.
  • Utilize data visualization tools to present AI-analyzed data in a clear, accessible format for management to monitor KPIs, employee performance, production efficiency, and market trends.


Qualifications:


  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • 5+ years of experience in AI development, consulting, or related roles, ideally in a manufacturing or industrial environment.
  • Proven track record of successfully implementing AI solutions that improve operational efficiency and reduce costs.
  • Expertise in AI/ML frameworks, data analytics, and business intelligence tools (e.g., Power BI, Tableau, etc.).
  • Familiarity with ERP systems, SCM software, and production management tools.
  • Strong project management skills and ability to work cross-functionally with teams from HR, finance, marketing, and production.
  • Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders.
  • Knowledge of the manufacturing sector's processes and challenges is highly preferred.


Key Areas of AI Integration:


  • HR: Talent acquisition, employee engagement, and payroll automation.
  • Accounting: Financial forecasting, cost analysis, and expense management.
  • Production: Predictive maintenance, production optimization, and quality control.
  • Supply Chain Management (SCM): Demand forecasting, inventory management, and logistics optimization.
  • New Product Development (NPD): AI-driven product innovation and market analysis.
  • Digital Marketing: AI-enhanced customer targeting, personalized marketing, and campaign analysis.
  • Process Refinement: AI-powered process improvement, predictive analytics, and decision support.