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.