Process Optimization Engineer - AI Automation (Homeowners Insurance)
inerG · Kochi · onsite · Posted 35d ago
Undisclosed0–1 yrsfulltimeSourced from
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About this role
Job Summary:
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
We are looking for a proactive and technically adept Process Optimization Engineer (Support) to join our AI Enablement team at InfoPark, Cochin. This role sits at the critical junction of AI technology and customer support operations, focusing on the homeowners insurance domain. You ll help train and deploy AI models to automate support tasks, optimize intelligent tools for underwriting and claims workflows, and improve customer and agent interactions across digital channels-while continuing to support existing manual tasks.
Key Responsibilities:
- AI Model Training & Data Curation: Prepare, label, and validate underwriting and claims support data and documents to train models for tasks related to underwriting and claims workflows and responding to insured inquiries.
- Support Workflow Automation: Partner with AI engineers to build and refine automation for routine tasks such as document verification, claims intake, estimate reviews, and chat-based interactions.
- Performance Monitoring & Feedback: Continuously evaluate AI performance in production, identify gaps, and provide actionable feedback to enhance model accuracy and usability.
- Cross-Functional Collaboration: Serve as a key liaison between the AI development team and customer support teams, ensuring tools meet operational requirements and frontline needs.
- Training & Enablement: Onboard support staff on AI-driven tools and gather user feedback to guide tool enhancements.
- System Maintenance & Troubleshooting: Monitor system reliability, escalate technical issues, and support the stability of AI tools across platforms.
- Documentation & Standards: Maintain internal documentation for data labeling standards, model training processes, and tool usage protocols and develop requirements documents for tool enhancements.
Required Qualifications:
- 0-1 years in technical support, customer support, or insurance operations (preferably in homeowners insurance).
- Familiarity with insurance workflows-especially policy servicing and claims handling.
- Basic understanding of AI/ML concepts, especially Natural Language Processing (NLP).
- Strong analytical and troubleshooting skills.
- Experience with support platforms like Zendesk, HubSpot or Salesforce.
- Excellent interpersonal and communication skills.
Preferred Qualifications:
- Experience labeling or training datasets for AI/chatbot models.
- Exposure to tools like chatGPT, Gemini, Copilot, etc.
- Knowledge of data privacy practices and compliance standards in the insurance sector.
- Basic proficiency in Python or SQL for data handling.
Why Join Us:
- Play a central role in transforming the insurance industry with AI.
- Collaborate with global, cross-functional teams at the cutting edge of support automation.
- Work from a modern, innovation-driven environment at InfoPark, Cochin.
- Enjoy a flexible, inclusive work culture with growth opportunities in AI and insurance technology.
Qualifications BTech - CS / IT / ECE or MCA / BCA or MSc / BSc - CS/ IT Stream Graduates only
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AutomationCustomer SupportTechnical SupportTroubleshootingClaimsworkflowSQLunderwritingoperationsanalytical
About inerG
inerG
Houston
US
₹6L PA avg
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About
inerG makes the process of evaluating, funding, monitoring and optimally managing energy asset portfolios simpler, faster, safer and cheaper with its next generation economic and reserves software and asset performance monitoring platform. This platform enhances the efficiency and effectiveness of energy asset management, providing users with the tools needed for optimal performance.
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Clean EnergyEnergyInformation TechnologyOil and GasSoftwareSolar
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