Senior MLOps Engineer (GCP)

Location: Remote Latvia

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 Google Cloud Platform using Vertex AI, GKE, Cloud Storage, Cloud Run, and GPU/TPU instances.
• Own the end-to-end deployment and serving lifecycle for machine learning models, including high-throughput and low-latency inference services.
• Build reproducible CI/CD/CT pipelines for model training, testing, evaluation, and deployment with Airflow, Vertex AI Pipelines, and GitHub Actions.
• Implement production observability for system health and ML metrics, including latency, throughput, prediction accuracy, feature drift, and data distribution shifts.
• Provide standardized training environments and deployment templates for AI researchers and engineers.
• Turn AI prototypes and notebooks into secure, resilient, auto-scaling microservices while integrating feature stores, dataset versioning, and stream or batch processing.

Requirements

• At least 5 years of hands-on experience designing, deploying, and maintaining production machine learning workloads in cloud environments.
• Deep 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 tools such as Grafana, Prometheus, and GCP Cloud Monitoring.

Nice to have

• Experience running 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 security needs.
• Operate in a nimble, growth-oriented environment where individual contributions have visible impact.
• Collaborate with AI researchers, data engineers, backend teams, and other technical specialists.
• Access opportunities to learn new technologies, products, and markets as the organization expands.
• Inclusive workplace committed to equal opportunity and free from discrimination and harassment.