Job VC
MLOps Engineer
Technologies
Description
Responsibilities:
Own and support core ML infrastructure (MLflow, CVAT, GPU/CPU cloud instances, internal data tools).
Assist Data Engineers with deploying and maintaining data pipelines.
Act as the primary contact for ML and Data teams on infra-related requests.
Improve reliability and efficiency by adding automation, monitoring, and tooling enhancements.
Must have:
Knowledge of Python, Terraform, Docker, Linux.
Hands-on experience with cloud environments (Azure prefered).
Understanding of the end-to-end ML lifecycle (data → training → evaluation → deployment → monitoring).
Nice to have:
Familiarity with Kubernetes.
Experience with FFmpeg or GStreamer for video processing and streaming.
Experience with model serving frameworks and inference formats (ONNX, TensorRT, OpenVINO, NVIDIA Triton).
Experience deploying computer vision models, especially to edge/embedded devices (NVIDIA Jetson, Intel platforms, Raspberry Pi).
Надаємо бронювання від мобілізації
Own and support core ML infrastructure (MLflow, CVAT, GPU/CPU cloud instances, internal data tools).
Assist Data Engineers with deploying and maintaining data pipelines.
Act as the primary contact for ML and Data teams on infra-related requests.
Improve reliability and efficiency by adding automation, monitoring, and tooling enhancements.
Must have:
Knowledge of Python, Terraform, Docker, Linux.
Hands-on experience with cloud environments (Azure prefered).
Understanding of the end-to-end ML lifecycle (data → training → evaluation → deployment → monitoring).
Nice to have:
Familiarity with Kubernetes.
Experience with FFmpeg or GStreamer for video processing and streaming.
Experience with model serving frameworks and inference formats (ONNX, TensorRT, OpenVINO, NVIDIA Triton).
Experience deploying computer vision models, especially to edge/embedded devices (NVIDIA Jetson, Intel platforms, Raspberry Pi).
Надаємо бронювання від мобілізації