Associate Applied AI Engineer

Tauck, Inc.; United States; On-site; USD 70,000 - 90,000; Full time

Job summary

Tauck, Inc. is seeking an Associate Applied AI Engineer to transform business challenges into functional AI and ML solutions. Ideal candidates will have a Master's degree in Data Science or a related field and a strong foundation in machine learning.

The role requires proficiency in Python and SQL, along with experience in building ML models and managing data workflows. Join us as we explore new AI tools and contribute to innovative agentic AI projects.

Qualifications

• 0–2 years of professional experience in data science, machine learning, or AI engineering.
• Strong foundation in machine learning.
• Eagerness to learn and adopt new AI tools.

Responsibilities

• Translate business problems into analytical approaches.
• Wrangle datasets for ML modeling.
• Build and iterate on ML models.

Skills

Machine learning and applied statistics

Proficiency in Python

Proficiency in SQL

Strong problem-solving skills

Education

Master's degree in Data Science, Computer Science, AI, or related field

Tools

Data pipelines and orchestration tools (e.g., Airflow, Prefect)

Job description

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