Freelance Deverloper for LLM-Based Solutions Implementation in Insurance company

We are a leading insurance company seeking a highly skilled freelance consultant to design, develop, and deploy large language model (LLM) based solutions tailored to our business needs. The ideal candidate will have extensive experience in LLM development, natural language processing (NLP), and AI integration within the insurance industry.

Responsibilities:
Project Scoping and Planning: Work with our innovation and IT teams to define project scope, objectives, and deliverables.
LLM Development: Design and develop custom LLM solutions to address specific business requirements such as customer service automation, claims processing, fraud detection, and personalized policy recommendations.
Integration: Integrate LLM solutions with existing systems and workflows, ensuring seamless operation and data flow.
Testing and Validation: Conduct thorough testing and validation of LLM models to ensure accuracy, reliability, and compliance with industry standars.
Training and Support: Provide training to our staff on how to use and maintain the new systems. Offer ongoing support and troubleshooting as needed.
Documentation: Create comprehensive documentation for all developed solutions, including design specifications, user guides, and maintenance manuals.
We are a leading insurance company seeking a highly skilled freelance consultant to design, develop, and deploy large language model (LLM) based solutions tailored to our business needs. The ideal candidate will have extensive experience in LLM development, natural language processing (NLP), and AI integration within the insurance industry.

Freelance Consultant for LLM-Based Solutions Implementation in Insurance
Project Scoping and Planning: Work with our innovation and IT teams to define project scope, objectives, and deliverables.
LLM Development: Design and develop custom LLM solutions to address specific business requirements such as customer service automation, claims processing, fraud detection, and personalized policy recommendations.
Integration: Integrate LLM solutions with existing systems and workflows, ensuring seamless operation and data flow.
Testing and Validation: Conduct thorough testing and validation of LLM models to ensure accuracy, reliability, and compliance with industry standards.
Training and Support: Provide training to our staff on how to use and maintain the new systems. Offer ongoing support and troubleshooting as needed.
Documentation: Create comprehensive documentation for all developed solutions, including design specifications, user guides, and maintenance manuals.
Requirements:
Experience: Proven track record of developing and deploying LLM-based solutions, preferably within the insurance sector.
Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and other relevant AI/ML frameworks. Strong understanding of NLP and machine learning algorithms.
Industry Knowledge: Familiarity with the insurance industry, including common processes, regulations, and challenges.
Problem-Solving: Strong analytical and problem-solving skills, with the ability to address complex technical issues.
Communication: Excellent verbal and written communication skills, capable of explaining technical concepts to non-technical stakeholders.
Collaboration: Ability to work effectively with cross-functional teams, including IT, innovation, and business departments.
Preferred Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Certifications: Relevant certifications in AI/ML or NLP are a plus.
Project Duration:
Timeline: Estimated project duration is 6-12 months, with potential for extension based on project needs and performance.
Experience: Proven track record of developing and deploying LLM-based solutions, preferably within the insurance sector.
Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and other relevant AI/ML frameworks. Strong understanding of NLP and machine learning algorithms.
Industry Knowledge: Familiarity with the insurance industry, including common processes, regulations, and challenges.
Problem-Solving: Strong analytical and problem-solving skills, with the ability to address complex technical issues.
Communication: Excellent verbal and written communication skills, capable of explaining technical concepts to non-technical stakeholders.
Collaboration: Ability to work effectively with cross-functional teams, including IT, innovation, and business departments.
Preferred Qualifications:
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Certifications: Relevant certifications in AI/ML or NLP are a plus.
Project Duration:
Timeline: Estimated project duration is 6-12 months, with potential for extension based on project needs and performance.