Job Description
We are looking for an Audio AI / Machine Learning Engineer with strong hands-on experience in ML, Deep Learning, and Audio Processing. The role involves building, tuning, and deploying audio-based AI models using modern frameworks.
Required Skills
- Strong programming skills in Python and C++
- Experience with Python libraries: NumPy, Pandas
- Hands-on experience with PyTorch / TensorFlow / Keras / Scikit-learn
- Strong understanding of Machine Learning & Deep Learning
- Knowledge of:
- Model tuning, optimization, and validation
- Transfer learning
- CNNs, Autoencoders
- Backpropagation, optimizers, attention, normalization
- Audio AI experience:
- Audio preprocessing using Librosa, Kaldi, python-speech-features
- Signal Processing fundamentals
- Acoustic models for speech recognition
- Ability to:
- Build models from scratch
- Implement research papers independently
- Improve model accuracy and latency
- Support deployment requirements
Tools
- Git
- Docker
- Collaboration tools: Jira, Confluence
Good to Have
- Audio AI certifications
- Experience with synthetic data generation
- Experience deploying models on edge devices
Key Focus
- Audio AI modeling and tuning
- ML/DL model development using PyTorch/TensorFlow
- Speech recognition systems