Job location: Remote in India

About the role:
We are looking for a seasoned Machine Learning Engineer with deep expertise in deep learning to design and build production-grade models in the speech/audio and computer vision domains. The Machine Learning Engineer will own the end-to-end model development lifecycle - from dataset curation and architecture design through training, optimization, and deployment, and will work closely with software and product teams to ship low-latency, scalable AI features.

What you will be expected to do

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Research, design, train, and productionize deep learning models for speech/audio (ASR, speaker diarization, audio classification, TTS, noise suppression) and computer vision (detection, segmentation, classification, video understanding) use cases.

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Architect training pipelines capable of handling large-scale datasets, manage data preprocessing, augmentation, and versioning workflows.

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Select and adapt state-of-the-art architectures (Transformers, CNNs, RNNs, diffusion models, etc.)



and fine-tune or distill pre-trained models for production constraints.

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Optimize models for inference - quantization, pruning, knowledge distillation - targeting latency, throughput, and memory budgets on CPU/GPU/edge hardware.

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Work with software engineers to integrate models into production systems, design APIs and microservices for model serving.

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Define and track evaluation benchmarks, monitor model performance in production, and drive continuous improvement cycles.

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Stay current with research literature, evaluate and implement relevant SOTA techniques, contribute to internal technical forums.

You might be a solid candidate if you have/are

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B.Tech / M.Tech / M.Sc. / PhD in Computer Science, Electrical Engineering, Signal Processing, or a related field.

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4+ years of experience in machine learning/deep learning engineering with significant hands-on work in speech/audio and/or computer vision in production environments.

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PyTorch (pri

📌 Machine Learning Engineer (New Delhi)
🏢 Sun King
📍 New Delhi