Agile DevOps Engineer (AI/ML)

TL;DR

Agile DevOps Engineer (AI/ML): Designing, implementing, and optimizing machine learning models for end-to-end ML workflows with an accent on gradient boosting techniques and cloud platform deployment. Focus on managing data pipelines, ensuring model reproducibility, and integrating solutions within an Agile environment.

Location: Hybrid in Budapest, Hungary

Company

hirify.global Group is a manufacturer-independent IT consulting and services company founded in 1999, focusing on financial services, telecommunications, automotive, and energy service providers.

What you will do

• Collect, clean, and prepare data from SQL and NoSQL sources.
• Design, implement, and optimize machine learning models using gradient boosting.
• Manage end-to-end ML workflows including training, inference, and prediction.
• Analyze and visualize data for business decisions using Power BI or Looker.
• Deploy, monitor, and maintain ML models and data pipelines on cloud platforms (AWS, Azure, GCP).
• Ensure reproducibility and scalability using Git and CI/CD pipelines in an an Agile environment.

Requirements

• Advanced proficiency in Python and Jupyter Notebook.
• Strong experience with SQL and NoSQL databases (Oracle, Impala; BigQuery/MongoDB a plus).
• Solid knowledge of machine learning algorithms, especially gradient boosting.
• Hands-on experience with end-to-end ML workflows (data ingestion, preprocessing, training, inference, prediction).
• Experience with data visualization tools (Power BI, Looker).
• Practical experience with cloud platforms (AWS, Azure, GCP).
• Knowledge of version control (Git) and CI/CD pipelines.
• Familiarity with Agile methodologies and independent problem-solving skills.

Nice to have

• Experience with PySpark and Apache Airflow.
• Knowledge of recommendation system development.
• Familiarity with Jira.
• Background in telecommunications or SME sector.

Culture & Benefits

• Emphasis on personal value, open communication, and transparency.
• Welcomes fresh ideas and continuous development.
• Provides continuous learning opportunities and a stable background.