Careers

What you'll do

• Identify and prioritize high-impact machine learning use cases for modem systems.
• Develop robust ML/DL models using advanced deep learning architectures for modem applications.
• Build automated end-to-end ML pipelines for data ingestion to deployment.
• Design state-of-the-art MLOps infrastructure for reproducible experimentation and model versioning.
• Optimize ML models for on-device deployments with strict latency, memory constraints.
• Implement robust monitoring systems for continuous tracking of model performance.

What we're looking for

• Strong hands-on experience in Python or C/C++ programming.
• Solid understanding of machine learning algorithms, probability, statistics, and software engineering principles.
• Experience with deep learning architectures like CNNs, RNNs, GRUs, LSTMs, Transformers.
• Proficiency in industry-standard ML frameworks such as PyTorch, TensorFlow, Keras.
• Deep experience with MLOps systems including experiment tracking and model lifecycle management.
• Ability to build production-grade ML pipelines for large-scale datasets.
• Strong software engineering skills, including debugging complex integrated systems.