Senior MLOps Engineer (AI)

Location: Remote Poland

Company

hirify.global develops cybersecurity solutions that help customers monitor, manage, and protect risks associated with digital identities and personal information.

What you will do

• Architect and manage scalable ML infrastructure on GCP using Vertex AI, GKE, Cloud Storage, Cloud Run, and GPU/TPU compute.
• Own the end-to-end deployment and serving lifecycle for machine learning models using containers, Triton Inference Server, vLLM, and MLflow.
• Build automated, reproducible pipelines for model training, testing, evaluation, and deployment with Airflow, Vertex AI Pipelines, GitHub Actions, and ArgoCD.
• Implement production monitoring for system health and ML metrics, including latency, throughput, prediction accuracy, feature drift, and data distribution shifts.
• Provide scalable training environments and standardized deployment templates for AI and research engineers.
• Transform AI prototypes and notebooks into secure, resilient, auto-scaling microservices while supporting feature stores, dataset versioning, and stream or batch processing.

Requirements

• At least 5 years of hands-on experience designing, deploying, and maintaining production ML workloads in cloud environments.
• Deep experience with GCP, including Vertex AI, Cloud Storage, GKE, Cloud Run, IAM, and VPC configurations.
• Expertise in Docker, Kubernetes/GKE, Triton Inference Server, vLLM, and MLflow.
• Experience with Airflow, Vertex AI Pipelines, GitHub Actions, ArgoCD, and Terraform.
• Proficiency in Python and SQL for scripting, automation, API development, and data manipulation.
• Hands-on experience with logging, telemetry, and ML observability using Grafana, Prometheus, GCP Cloud Monitoring, or comparable tools.

Nice to have

• Experience with large-scale LLM or deep learning inference and training workloads.
• GCP Professional Machine Learning Engineer or Professional Cloud Architect certification.
• Familiarity with feature stores such as Feast or Vertex AI Feature Store.

Culture & Benefits

• Work on cybersecurity products addressing real customer protection needs.
• Contribute in a nimble organization where individual impact is visible and valued.
• Access opportunities to learn new technologies, products, and markets in a growth-oriented environment.
• Join an inclusive workplace committed to preventing discrimination and harassment.