Smart Caliber Technology
Overview
Role:
Web AI Engineer Location:
New York, NY (Hybrid) Contract Only accepting resumes with 10+ years of experience and strong Financial/Banking background. Job Description
Role Overview The Web AI Engineer will be responsible for designing and implementing intelligent webbased solutions that enhance digital capabilities across insurance platforms This role requires strong expertise in artificial intelligence machine learning and full stack web development The engineer will contribute to automation personalization and predictive analytics for policy servicing claims management and customer engagement. Key Responsibilities
Develop and deploy AIpowered web applications for insurance workflows including underwriting claims processing and customer servicing Implement machine learning models for risk assessment fraud detection and customer behavior analysis Integrate AI services with web platforms using APIs and microservices architecture Build responsive and scalable frontend interfaces using modern frameworks Design and maintain backend systems that support realtime data processing and model inference Optimize performance reliability and scalability of AIenabled web components Ensure compliance with insurance regulatory standards and data privacy protocols Collaborate with data scientists architects and developers to align AI solutions with business objectives. Required Skills
Proficiency in Python JavaScript and frameworks such as React Angular or Vue Experience with machine learning libraries including TensorFlow PyTorch or Scikitlearn Strong understanding of RESTful APIs cloud services and containerization technologies Familiarity with insurance data models and domainspecific use cases Ability to implement AI algorithms for classification regression clustering and recommendation systems Exposure to NLP techniques for document processing and chatbot development Experience with data pipelines model deployment and monitoring tools Knowledge of security and compliance standards relevant to insurance platforms. Preferred Qualifications
Background in AI applications for life health or general insurance products Certification in machine learning AI engineering or cloud architecture Experience with personalization engines and predictive analytics in insurance Familiarity with headless CMS and APIfirst design principles. Work Environment
Agile and innovationdriven setting focused on intelligent insurance solutions Opportunity to lead AI initiatives and contribute to digital transformation programs Emphasis on technical excellence scalability and domain relevance
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Role:
Web AI Engineer Location:
New York, NY (Hybrid) Contract Only accepting resumes with 10+ years of experience and strong Financial/Banking background. Job Description
Role Overview The Web AI Engineer will be responsible for designing and implementing intelligent webbased solutions that enhance digital capabilities across insurance platforms This role requires strong expertise in artificial intelligence machine learning and full stack web development The engineer will contribute to automation personalization and predictive analytics for policy servicing claims management and customer engagement. Key Responsibilities
Develop and deploy AIpowered web applications for insurance workflows including underwriting claims processing and customer servicing Implement machine learning models for risk assessment fraud detection and customer behavior analysis Integrate AI services with web platforms using APIs and microservices architecture Build responsive and scalable frontend interfaces using modern frameworks Design and maintain backend systems that support realtime data processing and model inference Optimize performance reliability and scalability of AIenabled web components Ensure compliance with insurance regulatory standards and data privacy protocols Collaborate with data scientists architects and developers to align AI solutions with business objectives. Required Skills
Proficiency in Python JavaScript and frameworks such as React Angular or Vue Experience with machine learning libraries including TensorFlow PyTorch or Scikitlearn Strong understanding of RESTful APIs cloud services and containerization technologies Familiarity with insurance data models and domainspecific use cases Ability to implement AI algorithms for classification regression clustering and recommendation systems Exposure to NLP techniques for document processing and chatbot development Experience with data pipelines model deployment and monitoring tools Knowledge of security and compliance standards relevant to insurance platforms. Preferred Qualifications
Background in AI applications for life health or general insurance products Certification in machine learning AI engineering or cloud architecture Experience with personalization engines and predictive analytics in insurance Familiarity with headless CMS and APIfirst design principles. Work Environment
Agile and innovationdriven setting focused on intelligent insurance solutions Opportunity to lead AI initiatives and contribute to digital transformation programs Emphasis on technical excellence scalability and domain relevance
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