Senior MLOps Engineer

Location: Remote Ukraine

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 machine learning infrastructure on GCP using Vertex AI, GKE, GCS, Cloud Run, and GPU/TPU compute.
• Own the end-to-end deployment and serving lifecycle for machine learning models, including high-throughput, low-latency inference services.
• Build automated, reproducible pipelines for model training, testing, evaluation, and deployment using Airflow, Vertex AI Pipelines, and GitHub Actions.
• Implement production monitoring for system health and ML-specific metrics such as feature drift, prediction accuracy, and data distribution shifts.
• Support AI researchers and engineers with scalable training environments, optimized runtimes, and standardized deployment templates.
• Turn AI prototypes and notebooks into secure, resilient, auto-scaling microservices while integrating feature stores, dataset versioning, and batch or streaming workflows.

Requirements

• At least 5 years of hands-on experience designing, deploying, and maintaining production ML workloads in cloud environments.
• Deep practical experience with GCP, including Vertex AI, Cloud Storage, GKE, Cloud Run, IAM, and VPC configurations.
• Expertise with 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 tools such as Grafana, Prometheus, and GCP Cloud Monitoring.

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 customers' evolving digital protection needs.
• Contribute in a nimble organization where individual impact is visible and valued.
• Learn new technologies, products, and markets in a growth-oriented environment.
• Collaborate with AI researchers, data engineers, backend engineers, and other technical specialists.
• Inclusive workplace committed to equal opportunity and protection from discrimination and harassment.