Deep Learning Engineer

Key Responsibilities

• Develop, train, and evaluate deep neural networks for tasks such as [e.g., image recognition, NLP, speech, time-series forecasting].
• Optimize models for performance, accuracy, and deployment constraints (e.g., latency, memory, throughput).
• Implement model training pipelines using frameworks such as PyTorch or TensorFlow.
• Collaborate with data engineers and domain experts to prepare and preprocess large-scale datasets.
• Contribute to model deployment using tools like ONNX, TensorRT, or cloud-native solutions (AWS, Azure, GCP).
• Stay up-to-date with the latest advancements in deep learning research and techniques.

Required Skills & Experience

Nice to Have