Machine Learning Engineer (ML)

TL;DR

Machine Learning Engineer (ML): Building and optimizing production-ready machine learning pipelines and scalable model serving flows with an accent on MLOps and algorithmic understanding. Focus on implementing model diagnostics, automating deployment, and developing internal tools and libraries for data-driven decisions.

Location: Athens, Greece

Company

hirify.global is one of the biggest GameTech companies globally, operating in 19 markets and powering Betano, focused on leveraging cutting-edge technology for customer entertainment.

What you will do

• Develop and maintain production-ready ML pipelines and scalable model serving flows.
• Implement CI/CD pipelines and automate model deployment with REST API endpoints.
• Develop and maintain internal tools and libraries for machine learning applications.
• Work on cluster optimization and scalability for ML systems.
• Implement model diagnostics, including evaluation and monitoring flows.

Requirements

• Solid software background in OOP with 3+ years of hands-on Python experience.
• Understanding of the ML project lifecycle and hands-on experience with MLOps.
• Knowledge of version control tools and application development processes.
• Understanding of machine learning algorithms.
• Experience with Spark (PySpark or Scala).
• Fluency in English, both oral and written, is required.

Nice to have

• Experience with Azure / Databricks, Azure DevOps.
• Knowledge of SQL.
• Knowledge of MLflow and/or Kuberflow.

Culture & Benefits

• Be part of a diverse team of 2,700+ Kaizeners from 40+ nationalities.
• Work for a company recognized as one of the Best Workplaces in Europe and a certified Great Place to Work.
• Contribute to data-driven decision making and automation efforts.
• Focus on offering tailored customer experiences using machine learning models.
• Collaborate with data scientists and data engineers in a #oneteam environment.