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AI Summary
We're looking for an Associate Applied AI Engineer to help turn business problems into real, working AI and ML solutions. You'll bring a strong foundation in data science and machine learning, and a software engineer's mindset for building things that actually ship. Working alongside senior engineers and stakeholders, you'll explore data, build models, and contribute to AI-powered features that make our business smarter. As we expand into LLM-powered workflows and agentic AI, you'll have the opportunity to grow into these areas by learning new tools, patterns, and frameworks.
KEY RESPONSIBLITIES:
- 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
SKILLS & QUALIFICAITONS
- 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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Visit Tauck website for more information about the company.
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