MLOps/Infrastructure Engineer (USA project)
- Джерело:
- djinni.co
Що робити
- Design, build, and maintain scalable ML infrastructure and internal platforms.
- Develop reliable data ingestion, processing, and versioning pipelines.
- Build and optimize environments for distributed model training and evaluation.
- Manage cloud compute workloads across AWS and/or GCP.
- Containerize and orchestrate ML workloads using Docker and Kubernetes.
Що очікуємо
- 3+ years of commercial experience in ML infrastructure, MLOps, Data Engineering, or related backend/infrastructure roles.
- Strong experience with AWS and/or GCP.
- Hands-on experience with Docker and Kubernetes (K8s).
- Strong Python skills and solid software engineering fundamentals.
- Experience building and maintaining scalable data pipelines and workflow orchestration systems.
Що пропонуємо
- Experience with Terraform or other Infrastructure as Code tools.
- Familiarity with distributed training frameworks (PyTorch DDP, Ray, Horovod, etc.).
- Experience with model monitoring, observability, or data drift detection.
- Experience working with large volumes of unstructured data (video, sensor data, spatial data).
- Background in AI-heavy domains such as computer vision, autonomous systems, robotics, or similar fields.
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