AI Specialist

Role Overview

This is an exciting opportunity for someone passionate about leveraging artificial intelligence to solve real-world problems and drive business value.

• AI Model Integration: Develop and integrate advanced AI models (e.g., ChatGPT) into our existing platforms and workflows to automate and enhance various business processes.
• Data Pipeline Development: Collaborate with data engineers to design robust data pipelines that support model training, deployment, and real-time inference.
• Model Training & Fine-Tuning: Fine-tune language models using proprietary datasets to improve performance, accuracy, and relevance in our specific use cases.
• Collaboration & Communication: Work cross-functionally with product managers, software engineers, and stakeholders to identify AI opportunities, define project goals, and deliver innovative solutions.
• Quality Assurance & Troubleshooting: Ensure that the AI components are reliable, scalable, and meet strict quality standards. Investigate and resolve technical issues in a timely manner.
• Research & Innovation: Stay up to date with the latest AI and NLP research, tools, and best practices. Propose and implement new AI-driven features and improvements.

• Education & Experience:
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or related field (or equivalent practical experience).
• Demonstrated experience developing and deploying AI or NLP models in a production environment.
• Technical Expertise:
• Proficiency in Python (preferred) or another programming language commonly used for AI/ML.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries.
• Experience working with large language models (ChatGPT, GPT-3/4, BERT, etc.) and integrating them into real-world applications.
• Understanding of data structures, algorithms, and machine learning fundamentals.
• Problem-Solving Skills:
• Ability to dissect complex business problems and translate them into actionable AI solutions.
• Comfort with building proof-of-concepts to validate new ideas and refine solutions iteratively.
• Collaboration & Communication:
• Excellent verbal and written communication skills.
• Ability to work effectively with cross-functional teams in a remote environment.

• Industry Background: Familiarity with field services, property inspection, or real estate domains.
• Cloud Experience: Experience deploying AI solutions on AWS, Azure, or GCP.
• MLOps: Knowledge of CI/CD pipelines for machine learning (e.g., containerization, model versioning, and automated deployment).
• Security & Compliance: Understanding of data privacy and compliance regulations relevant to AI (e.g., GDPR, CCPA).