Senior Machine Learning Engineer

Location: Athens, Greece; Fully Remote

Company

hirify.global develops AI-based decision-support software that helps water utilities and municipalities predict pipe and meter failures and make better engineering and operations decisions.

What you will do

• Own the reliability, scalability, and automation of production machine-learning pipelines.
• Containerize pipeline services with Docker and deploy them on AWS.
• Design scalable, event-driven execution for data preparation, model training, and prediction jobs.
• Build and improve CI/CD pipelines with GitHub Actions.
• Strengthen observability through logging, metrics, and alerting.
• Improve reproducible training environments, experiment tracking, model versioning, and deployment.

Requirements

• 5+ years of experience running production Python systems.
• Strong software engineering fundamentals, including testing, version control, code review, and CI/CD.
• Hands-on Docker experience, including optimized Dockerfiles, multi-stage builds, and production troubleshooting.
• Cloud experience with AWS services including EC2, ECS, S3, EFS, CloudWatch, and IAM.
• Experience with GitHub Actions or an equivalent build, test, and deployment system.
• Experience with MongoDB, PostgreSQL, MLflow or a comparable model-management tool, reproducible training pipelines, and model deployment.

Nice to have

• Experience with uv, pydantic, Hydra, or OmegaConf.
• Experience with SageMaker Pipelines or Prefect.
• Familiarity with TensorFlow, scikit-learn, LightGBM, or geopandas.
• Exposure to geospatial or GIS tooling such as PostGIS or ArcGIS.
• Experience improving cloud cost efficiency through compute right-sizing and storage selection.

Culture & Benefits

• Fully remote work arrangement.
• Collaborative work with data scientists and DevOps engineers across the stack.
• Ownership of initiatives from proposal through production delivery.
• Focus on incremental improvements that preserve live-system reliability.