
501 - 1000 employees
Founded 1918
👥 B2C
B2C • Travel • Tourism
Collette is a leading travel company that specializes in crafting guided tours across all seven continents. With decades of experience, Collette offers a wide selection of travel styles, including small group explorations and immersive cultural experiences, enabling travelers to discover iconic destinations while connecting with the local culture. Their tours are designed to provide a worry-free experience, allowing travelers to focus on the joy of exploration.
🕒 Yesterday
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501 - 1000 employees
Founded 1918
👥 B2C
B2C • Travel • Tourism
Collette is a leading travel company that specializes in crafting guided tours across all seven continents. With decades of experience, Collette offers a wide selection of travel styles, including small group explorations and immersive cultural experiences, enabling travelers to discover iconic destinations while connecting with the local culture. Their tours are designed to provide a worry-free experience, allowing travelers to focus on the joy of exploration.
• Translate business problems into clear analytical approaches and solution designs • Wrangle datasets and engineer features to support ML modeling and AI workflows • Build, evaluate, and iterate on ML models (forecasting, classification, optimization) • Support the development of LLM-based workflows and emerging agentic AI patterns as these initiatives ramp up • Contribute to deploying, monitoring, and maintaining AI and ML workflows in production, working closely with senior engineers • Stay curious about new AI development tools and frameworks, and bring them into our workflows where they fit
• Master's degree in Data Science, Computer Science, AI, or a related field • 0–2 years of professional experience in data science, machine learning, or AI engineering (internships and thesis-level projects count) • Strong foundation in machine learning and applied statistics • Proficiency in Python and SQL, with the ability to write production-grade code • Familiarity with data pipelines and orchestration tools (e.g., Airflow, Prefect) • Exposure to agentic AI patterns a plus but more importantly, a genuine eagerness to learn and adopt new AI tools and techniques as the field evolves • Strong problem-solving skills and an analytical mindset
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