<h3>What You’ll Do</h3><ul><li>Develop and maintain scalable data-to-model pipelines.</li><li>Continuously improve ML models with the latest AI architectures.</li><li>Manage large data flows and ensure smooth deployment.</li><li>Deploy models across cloud and embedded platforms.</li></ul><h3>What We’re Looking For</h3><ul><li>Strong Python and deep learning (PyTorch / TensorFlow).</li><li>Experience with Docker, Kubernetes, Kubeflow.</li><li>Familiarity with MLflow, Tensorboard, W&B, Neptune, or ClearML.</li><li>CI/CD, Git, relational databases.</li></ul><h3>Nice-to-have:</h3><ul><li>DVC/lakeFS, Grafana, vector databases, deployment on Nvidia Jetson / TensorRT.</li></ul>
What You’ll Do
Develop and maintain scalable data-to-model pipelines.
Continuously improve ML models with the latest AI architectures.
Manage large data flows and ensure smooth deployment.
Deploy models across cloud and embedded platforms.
What We’re Looking For
Strong Python and deep learning (PyTorch / TensorFlow).
Experience with Docker, Kubernetes, Kubeflow.
Familiarity with MLflow, Tensorboard, W&B, Neptune, or ClearML.
CI/CD, Git, relational databases.
Nice-to-have:
DVC/lakeFS, Grafana, vector databases, deployment on Nvidia Jetson / TensorRT.