Freelance AI Implementation Expert - Remote

Overview

The AI Implementation Expert is responsible for guiding the successful deployment of AI solutions from proof-of-concept to full-scale implementation. They work closely with all the stakeholders to ensure AI use cases are properly defined, built, and executed. Their role involves risk management, setting realistic timelines, and ensuring that technical and business objectives are met.

In Short

• Lead the implementation of AI use cases, ensuring that the solutions meet business requirements.
• Collaborate with business leaders to define AI project scope and success criteria.
• Oversee AI project timelines, resource allocation, and risk management.
• Work closely with the AI Solution Architect to ensure technical feasibility and integration.
• Advise on best practices for AI model development, testing, deployment, and monitoring.
• Ensure alignment between business goals and technical execution of AI solutions.

Requirements

• Extensive experience in the end-to-end implementation of AI solutions (e.g., machine learning models, NLP, predictive analytics).
• Project Management: Ability to manage AI projects from concept to deployment.
• Technical Proficiency in AI: Deep understanding of AI/ML models, data pipelines, and deployment techniques.
• Solution Design: Expertise in designing scalable AI solutions.
• Cross-Functional Collaboration: Ability to work with various stakeholders.
• Change Management: Ability to contribute to organizational changes with AI implementation.
• Performance Monitoring: Ability to measure and monitor AI system performance post-deployment.

Benefits

• Flexible work arrangements with a hybrid model.
• Opportunity to work on innovative AI projects.
• Collaborative work environment with diverse teams.
• Potential for contract renewal based on project duration.