About the role

Role Overview

Machine Learning Engineer working on algorithmic ML product architectures for a hospitality-focused, data-driven organization. You will build, productionize, and scale ML workflows in collaboration with data science and engineering teams.

Responsibilities

Design and implement algorithmic product architectures for machine learning models
Partner with data scientists to build workflows that deploy/activate ML models and maximize impact
Productionize solutions using infrastructure-as-code patterns
Improve and extend existing ML architectures and workflows
Collaborate with data engineering and data architecture teams to ensure data requirements are met
Stay current with modern ML engineering design patterns and AWS services

Requirements

5+ years implementing cloud-based software product solutions, focused on ML/algorithmic products
Expertise in AWS, Python, SQL, PySpark, and Docker
Experience with streaming and batch data architectures at scale
Operating experience in an Agile environment
Strong foundation in DevOps and CI/CD concepts
Master’s degree in Computer Science, Software Engineering, or related field

Nice to Have / On Offer

Opportunity to join a collaborative, growing data science team
Structured onboarding and ramp-up support

About Haystack

Haystack is a company that works on building data-driven, technology-enabled solutions, supporting innovation through machine learning and automation. This role is tied to work with a leading global hospitality client focused on improving guest experiences and operational efficiency using analytics and ML.