Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Designing and building robust search and ranking systems for a luxury e-commerce platform with an accent on delivering personalized search experiences. Focus on developing MLOps pipelines, managing large-scale data flows, and ensuring high availability of model predictions.

Location: Hybrid (Porto)

Company

hirify.global is a leading global marketplace for the luxury fashion industry.

What you will do

• Design, build, and deploy robust, end-to-end MLOps pipelines on Databricks for complex models, including NLP and multimodal systems.
• Architect and manage large-scale data flows using PySpark, pulling from diverse sources like Azure Data Lake Storage (ADLS) and Google BigQuery.
• Develop and maintain scalable APIs and services that can handle millions of requests daily.
• Champion engineering best practices by writing clean, tested, and maintainable code.
• Implement comprehensive monitoring and alerting for model performance and data drift.

Requirements

• Proven experience building and deploying end-to-end ML-powered products in a production environment.
• Proficient in Python and modern software engineering practices.
• Hands-on experience writing and optimizing complex data pipelines using Spark/PySpark.
• Practical experience with a major cloud platform (Azure, GCP, or AWS).
• Excellent collaboration and communication skills.

Nice to have

• Deep expertise with the Databricks platform.
• Experience with containerization technologies like Docker.
• Experience with Redis for high-throughput caching.
• Experience with Apache Airflow for managing complex data pipelines.

Culture & Benefits

• Health insurance for the whole family and flexible working environment.
• Extra days off and sabbatical program.
• Training opportunities and free access to Udemy.
• Flexible benefits program.