Senior MLOps Engineer (AI)

Location: Fully remote from Athens, Greece

Company

hirify.global.ai develops AI-based decision-support software that helps water utilities and municipalities predict pipe and meter failures and improve 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 automated build, testing, and deployment pipelines with GitHub Actions.
• Strengthen observability through logging, metrics, and alerting.
• Manage reproducible training environments, experiment tracking, model versioning, and deployment with MLflow.

Requirements

• 5+ years of experience running production Python systems, with strong software engineering fundamentals.
• Hands-on Docker experience, including Dockerfiles, multi-stage builds, and production container debugging.
• Cloud experience with AWS compute, storage, monitoring, and access-management services, including EC2, ECS, S3, EFS, CloudWatch, and IAM.
• Experience with GitHub Actions or an equivalent CI/CD platform.
• Working knowledge of MongoDB and PostgreSQL, including secure service connectivity in containerized environments.
• Production experience supporting the ML lifecycle, including MLflow or comparable model-management tools, 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, and geopandas.
• Exposure to geospatial or GIS tooling such as PostGIS or ArcGIS.
• Experience with cloud cost optimization, compute right-sizing, and storage selection.

Culture & Benefits

• Fully remote work from Athens, Greece.
• Collaboration with data scientists and DevOps engineers across the stack.
• Ownership of initiatives from proposal through production delivery.
• Incremental modernization and scaling of pipelines already serving customers in production.
• Work on AI-based infrastructure supporting water utilities and municipalities.