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Description:
- Play a critical role in architecting, building, and maintaining ML infrastructure on Google Cloud Platform (GCP).
- Collaborate with AI Researchers, Data Engineers, and Backend teams to bridge experimentation and production systems.
Requirements:
- At least 5 years of hands-on experience in MLOps and production ML workloads in cloud environments.
- Deep experience with GCP, including Vertex AI, Cloud Storage, GKE, and IAM/VPC configurations.
- Expertise in containerization (Docker, Kubernetes/GKE) and serving tools (Triton, vLLM, MLflow).
- Proven experience with workflow orchestrators (Airflow, Vertex AI Pipelines) and CI/CD tools (GitHub Actions).
- Solid experience managing cloud resources using Terraform.
- Proficiency in Python and SQL for scripting and automation.
- Hands-on experience with logging and monitoring tools (Grafana, Prometheus, GCP Cloud Monitoring).
Benefits:
- Opportunity to solve real customer problems and see your impact daily.
- Accelerate your career in a fast-paced, growth-oriented environment.
- Work with talented individuals in an inclusive community.
Job title
Job type
Experience level
Required experience
5 years
Salary
-
Degree requirement
No degree requiredSkills
Location requirements
Ukraine
Benefits
-
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