AI Engineer

Summary

Join Zicasso, a leading luxury travel company, as a fully remote AI Engineer to spearhead the design, development, and deployment of cutting-edge AI solutions. Leverage AI to enhance the personalized luxury travel experience for customers, demonstrating expertise in the entire machine learning lifecycle. This international freelance contractor position, based outside the US (ideally Latin America), offers flexible hours with expected overlap with California time. The role requires strong communication skills to convey technical findings to both technical and non-technical stakeholders. You will contribute to Zicasso's AI roadmap and strategy, working collaboratively with cross-functional teams. Zicasso offers a dynamic global work environment and various benefits.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience)
• 5+ years of professional experience in software engineering, with a strong foundation in scalable system design
• 2+ years of experience building and deploying machine learning models in production environments, demonstrating a clear understanding of MLOps principles
• Proven expertise in artificial intelligence concepts, machine learning, deep learning, predictive modeling, and natural language processing (NLP)
• Deep proficiency in programming languages relevant to AI development, such as Python, and ideally experience with others like Java, C++, or Scala, as well as. hands-on experience with major deep learning frameworks
• Experience with data visualization and BI tools (e.g., Tableau, Power BI, or similar)
• Experience working in cloud environments such as AWS, GCP, or Azure
• Experience with MLOps tools and platforms for model versioning, deployment, and monitoring
• Strong understanding of data warehousing concepts and experience with large-scale data processing technologies
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences
• Self-motivated, with the ability to work independently and as part of a collaborative team

Responsibilities

• Design, develop and implement artificial intelligence systems, including machine learning and deep learning models
• Develop and deploy AI solutions using Python and other relevant languages such as Java, C++, or Scala, depending on project needs
• Research, implement, and adapt appropriate AI/ML algorithms, techniques, and tools for specific problem domains, staying abreast of the latest advancements in AI/ML
• Identify and leverage valuable data sources, and establish efficient data mining/collection processes
• Develop and implement data preprocessing techniques for structured and unstructured data to ensure data quality and suitability for AI models and addressing potential biases
• Analyze large datasets to identify, interpret, and articulate meaningful trends, patterns, and insights relevant to AI applications
• Develop comprehensive dashboards and visualizations to communicate AI outputs, insights, and recommendations to internal teams
• Collaborate closely with cross-functional teams (product, engineering, marketing, and data) to integrate AI solutions into production systems and establish robust Model Life Cycle Management (MLOps) practices for continuous integration, deployment, and monitoring
• Monitor, evaluate, and fine-tune deployed AI models for performance, accuracy, and reliability
• Contribute to defining the AI roadmap and strategy for Zicasso

Preferred Qualifications

• Master's or Ph.D. in a relevant quantitative field
• Knowledge and understanding of digital advertising platforms (e.g., Google Ads, Meta Ads, Bing Ads) and their data structures
• Familiarity with data analytics platforms like Google Analytics 4 and BigQuery
• Experience with Large Language Models (LLMs) and Generative AI applications

Benefits

• Remote work from your home base and flexible hours that allow you to enjoy a great work-life balance
• Innovative, fast-paced and collaborative culture that values diverse voices and opinions
• Learning and development annual stipend
• Two company-sponsored business trips each year at international destinations we serve!