4 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Partner with EHS, audit, compliance, IT, and digital teams to identify opportunities for AI and automation.
- Design, build, and deploy generative AI assistants, document and regulatory review tools, data extraction, classification, and summarization solutions.
- Integrate AI capabilities with EHS systems and enterprise tools using APIs, connectors, and workflows.
- Develop AI-enabled analytics and dashboards for incidents, audit findings, corrective actions, and compliance data.
- Prototype solutions with end users, gather feedback, and iterate on practical tools.
- Define success metrics and measure and report the business value of deployed solutions.
- Ensure solutions follow responsible AI, data privacy, cybersecurity, and IT governance standards.
- Create documentation, user guides, and training and champion adoption across the global EHS community.
- Maintain deployed solutions, monitor performance, and address model accuracy and data quality issues.
- Monitor emerging AI technologies and EHS digital trends and recommend opportunities to leadership.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, Environmental/Safety Science, or a related field.
- At least 3 years of experience developing and implementing AI, machine learning, automation, or data analytics solutions in a business environment.
- Hands-on experience with generative AI and large language models, including prompt engineering, retrieval-augmented generation, or AI agents.
- Experience with platforms such as Azure OpenAI, AWS, or Microsoft Copilot.
- Proficiency in Python and/or low-code tools such as Power Apps and Power Automate, with experience using APIs and data integration.
- Ability to translate business problems into technical solutions and communicate with non-technical stakeholders.
- Proficiency with Microsoft Excel, Word, PowerPoint, Teams, and SharePoint.
- Preferred experience in EHS, compliance, quality, or audit functions in manufacturing, industrial, or chemical industries.
- Preferred familiarity with Enablon, Intelex, Cority, Sphera, EHS data, Power BI, Tableau, and SQL.
- Knowledge of responsible AI, data governance, and change management is preferred.
- Relevant Microsoft Azure AI Engineer, AWS Machine Learning, or Power Platform certifications are preferred.
Categories
About 3M
3M makes materials, components, and consumer goods used in manufacturing, healthcare, electronics, transportation, and home/office settings. Its portfolio spans adhesives and tapes (e.g., Scotch and Post-it brands), abrasives, filtration, personal protective equipment, and specialty materials sold to businesses and consumers through distributors and retail channels. Founded in 1902 and headquartered in St. Paul, Minnesota, 3M is a public company listed on the NYSE with global R&D and manufacturing operations.