Zicasso is hiring an AI Engineer to lead the design, development, and deployment of advanced AI systems that power personalized luxury travel experiences. In this role, you will spearhead the full machine learning lifecycle, from data strategy to production deployment, and communicate your technical findings to a wide range of stakeholders. Zicasso is a fully remote company spanning five continents, fostering a dynamic environment built on creativity, initiative, and teamwork.
What You'll Do
- 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.
- Research, implement, and adapt appropriate AI/ML algorithms, techniques, and tools for specific problem domains.
- Identify valuable data sources and establish efficient data mining and collection processes.
- Develop and implement data preprocessing techniques for structured and unstructured data.
- Analyze large datasets to identify, interpret, and articulate meaningful trends, patterns, and insights.
- Develop comprehensive dashboards and visualizations to communicate AI outputs, insights, and recommendations.
- Collaborate closely with cross-functional teams to integrate AI solutions into production systems and establish MLOps practices.
- Monitor, evaluate, and fine-tune deployed AI models for performance, accuracy, and reliability.
- Contribute to defining the AI roadmap and strategy for Zicasso.
What We're Looking For
- 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.
- 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.
- 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.
Nice to Have
- Master's or Ph.D. in a relevant quantitative field.
- Experience with other languages like Java, C++, or Scala.
- Hands-on experience with major deep learning frameworks.
- Knowledge 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.
Technical Stack
- Languages: Python, Java, C++, Scala
- Cloud: AWS, GCP, Azure
- Tools: Tableau, Power BI, BigQuery
Team & Environment
You will collaborate closely with cross-functional teams including product, engineering, marketing, and data. Zicasso values a culture of innovation, fast-paced collaboration, and diverse voices.
Benefits & Compensation
- Remote work from your home base and flexible hours.
- 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.
Work Mode
This is a fully remote, global position. We are open to candidates located outside of the United States, with a particular interest in Latin America.
Zicasso is an equal opportunity employer.


