Senior MLOps Engineer (AI)

TL;DR

Senior MLOps Engineer (AI): Building and enhancing MLOps infrastructure and pipelines for large-scale autonomous and AI-driven systems with an accent on cloud-native and scalable solutions. Focus on developing, productizing, and maintaining end-to-end ML workflows, including model training, evaluation, deployment, monitoring, and automation.

Location: Remote from Poland, Croatia, or other European countries

Company

hirify.global is a custom software development company that has been providing software innovation services since 1991.

What you will do

• Design, develop, and productize ML training and evaluation pipelines using Kubeflow and GCP services.
• Implement data and model monitoring, including drift detection and performance tracking.
• Establish and maintain CI/CD pipelines for ML workflows and infrastructure automation.
• Integrate model registries, metadata services, feature stores, and self-service ML endpoints.
• Support advanced ML services such as data onboarding, import/export, and LLM fine-tuning.
• Ensure reliability, scalability, observability, and operational readiness of MLOps systems.

Requirements

• Strong experience in MLOps / ML infrastructure engineering.
• Hands-on experience with GCP services (Vertex AI, GCS, BigQuery, Cloud Run, Workflows).
• Strong knowledge of Docker and Kubernetes, including Kubeflow.
• Experience with CI/CD pipelines and infrastructure automation (Pulumi or similar).
• Proficiency in Python and experience with model registries, metadata management, and REST APIs.
• Experience with monitoring and observability tools (Grafana, TensorBoard, OpenTelemetry).
• Work from Poland, Croatia, or other European countries is required.

Culture & Benefits

• Close cooperation with customers.
• Challenging tasks and opportunities for competence development.
• Ability to influence project technologies.
• Work within a team of professionals.
• Dynamic environment with low level of bureaucracy.