Homifax is a leading provider of asset record management, specializing in asset verification, tracking, and publishing services. Our innovative platform empowers clients across various sectors, including the marine vessel, recreational boat, and yacht industry, to manage and enhance the value of their assets through verified records and trusted reports. By leveraging advanced AI and large language models, we aim to transform asset management in the marine sector with cutting-edge solutions.

Job Summary

We are seeking a talented Large Language Modeler to join our AI team and develop specialized language models for the marine vessel, recreational boat, and yacht sector. The ideal candidate will design, train, and deploy LLMs to enhance Homifax’s asset management platform, enabling automated insights, natural language interfaces for vessel verification, and intelligent report generation. This role requires expertise in natural language processing, machine learning, and a keen interest in applying AI to the marine industry.

Responsibilities

• Design and develop large language models tailored for marine-specific applications, such as vessel asset verification, maintenance record analysis, and report publishing.
• Fine-tune LLMs to process and generate accurate, context-aware responses for marine-related queries, including vessel specifications, ownership records, and regulatory compliance.
• Collaborate with data scientists, engineers, and product teams to integrate LLMs into Homifax’s asset management platform and marine asset listing services.
• Build and curate high-quality datasets for training models, incorporating marine-specific data such as vessel registries, maintenance logs, and market trends.
• Optimize model performance for scalability, latency, and accuracy in production environments.
• Stay up-to-date with advancements in NLP and LLMs, applying best practices to enhance model capabilities and user experience in the marine sector.
• Ensure ethical AI practices, including bias mitigation and compliance with data privacy and maritime regulations.
• Provide technical documentation and present model performance metrics to stakeholders.

Qualifications

• Master’s or Ph.D. in Computer Science, Machine Learning, NLP, or a related field (or equivalent experience).
• 3+ years of experience in developing and deploying large language models or NLP systems.
• Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face, spaCy).
• Strong programming skills in Python and experience with cloud platforms (e.g., AWS, GCP, Azure) for model training and deployment.
• Familiarity with marine vessel data, including boat and yacht registries, maintenance records, or maritime regulations, is a plus.
• Experience with fine-tuning LLMs for domain-specific applications and managing large-scale datasets.
• Strong problem-solving skills and ability to work collaboratively in a fast-paced environment.
• Excellent communication skills to explain complex technical concepts to non-technical stakeholders.
• Knowledge of ethical AI practices and data privacy regulations (e.g., GDPR, CCPA) is preferred.

Benefits

• Competitive salary with performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• 401(k) with company match.
• Flexible remote work environment with travel allowances for occasional in-person collaboration.
• Opportunities for professional growth in AI and marine asset management technology.
• Generous paid time off and holidays.

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