MLOps Engineer (AI)

TL;DR

MLOps Engineer (AI): Building and maintaining scalable machine learning models and data pipelines with an accent on data accuracy, consistency, and inference efficiency. Focus on designing robust systems for training and deployment using distributed computing and containerized architectures.

Location: Wrocław, Poland

Company

hirify.global builds responsible AI that transforms market complexity into measurable profit growth through proprietary demand prediction models.

What you will do

• Build and maintain scalable models and data pipelines for data science workflows.
• Ensure accuracy, consistency, and efficiency of data used for model training and inference.
• Work with structured and unstructured data from diverse sources.
• Develop and maintain robust, scalable machine learning systems.
• Collaborate with the technical team to enhance overall AI capabilities.

Requirements

• BSc or Master's degree in Computer Science, Math, or Engineering.
• At least 5 years of commercial experience in Python.
• At least 3 years of hands-on commercial MLOps experience.
• Experience with pipeline orchestrators like Dagster or Airflow.
• Proficiency with distributed computing systems, Docker, and Kubernetes.
• Fluent in English, both written and spoken.

Nice to have

• Strong understanding of Data Structures and Algorithms.
• Proactive mindset with a focus on suggesting improvements and better technical solutions.
• Experience in the aviation industry.