Industry Consultant (Manufacturing + Data Science)

15 - 20 years

0 Lacs

Posted:3 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

In this role, you will be responsible for helping customers identify opportunities to monetize their data assets in order to drive growth and profitability. You will need to understand the engineering, supply chain, and production planning requirements of customers and design digital solutions that incorporate AI and AI-Agents. Acting as a bridge between customer business stakeholders and development teams, which include Data Scientists and Solution Architects, will be a key aspect of your role. Additionally, you will be expected to publish Whitepapers on topics related to the application of AI for solving domain-specific issues and fostering industry growth. Key Responsibilities: - Help customers identify opportunities to monetize their data assets - Design digital solutions with AI and AI-Agents for customers" engineering, supply chain, and production planning requirements - Act as a bridge between customer business stakeholders and development teams - Publish Whitepapers on AI applications for solving domain-specific issues Qualifications Required: - Ability to manage senior customer stakeholders - Proficiency in explaining Industry 4.0 practices to customers - Experience in leading requirement gathering and solutioning workshops - Understanding of the latest developments in AI research and their practical applications Qualifications: - Masters or Bachelor's degree in Computer Science, Engineering, or a related field Additional Details: The company requires you to have a total of 15-20 years of experience, with a minimum of 10 years in the Manufacturing domain, focusing on areas such as Production Planning, Maintenance, Automation, Control Systems, and Supply Chain. Experience in Actual Automation and Control Systems is preferred. From a technical perspective, a minimum of 5 years of experience in Control Systems data and Digital Applications implementation is necessary. Knowledge in Statistics, Machine Learning, Deep Learning, LLM, and Agents is essential for this role. Working Arrangements: This position requires 100% on-site work.,

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