Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Developing and deploying machine learning models to drive impactful decisions and elevate customer experiences across the full value chain of a global jewelry company with an accent on optimizing retail operations from design to marketing. Focus on creating scalable solutions, ensuring data quality, and continuously monitoring model performance.

Location: Wroclaw, Poland

Company

hirify.global is a global jewelry company developing machine learning models to optimize retail operations and enhance customer experiences.

What you will do

• Develop end-to-end analytical products from exploration to production and testing.
• Develop and maintain data pipelines for collecting, processing, and analyzing large datasets.
• Deploy scalable, reliable, and maintainable machine learning models into production.
• Collaborate with cross-functional teams to translate business needs into ML solutions.
• Monitor model performance and implement improvements for accuracy, efficiency, and scalability.
• Research and apply new machine learning and AI techniques.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
• 4-7 years of experience as a Machine Learning Engineer, Data Scientist, or similar role.
• Strong proficiency in Python and experience with ML tools (scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib).
• Experience with big data technologies like Databricks, Snowflake, Apache Spark, or Hadoop.
• Proficiency in SQL and relational databases.
• Understanding of system-level architecture, MLOps, model/data monitoring, and deterministic pipelines.
• Familiarity with cloud platforms (Azure) and containerization (Docker, Kubernetes).

Nice to have

• Experience in the retail industry or e-commerce.

Culture & Benefits

• Paid Vacation and Sick Days.
• Sport/Insurance Compensation.
• English Classes and Training Compensation.
• Charity initiatives.
• Supportive environment encouraging creative problem-solving and continuous learning.