Job Description
Join our AI team as a Senior ML Engineer to develop and deploy production machine learning models at scale.
Responsibilities
- Design, train, and deploy ML models for NLP and speech applications
- Build end-to-end ML pipelines from data processing to production inference
- Optimize model performance, latency, and cost
- Implement MLOps practices for model versioning, monitoring, and retraining
- Stay current with state-of-the-art research and apply it to real-world problems
Requirements
- 3-6 years of ML engineering experience
- Strong proficiency with PyTorch or TensorFlow
- Experience building NLP or deep learning systems
- Familiarity with cloud ML platforms (AWS SageMaker, GCP Vertex AI)
- Solid Python and software engineering fundamentals