Sagility - Research Engineer - NLP/Deep Learning

Description :

- Develop Algorithms : Apply state-of-the-art NLP and ASR algorithms to advance AI capabilities.

- Stay informed : Keep up with deep learning research and share key insights with the team.

- Innovation in Production : Design and implement production-ready techniques for NLP, ASR, and Conversational AI.

- Optimize Models : Enhance model performance for real-time use and scalability.

- Analyze &Improve : Conduct error analysis to boost accuracy and robustness.

- Manage Data Pipelines : Build and maintain pipelines for continuous model improvement.

- Collaborate : Work with cross-functional teams to integrate AI features into applications.

- Research Application : Translate cutting-edge research into practical, impactful solutions.

Skills & competencies :

Key Responsibilities :

- Develop Algorithms : Apply state-of-the-art NLP and ASR algorithms to advance AI capabilities.

- Stay Informed : Keep up with ML/ASR research and share key insights with the team.

- Innovate in Production : Design and implement production-ready techniques for NLP, ASR, and Conversational AI.

- Optimize Models : Enhance model performance for real-time use and scalability.

- Analyze & Improve : Conduct error analysis and train models to boost accuracy and robustness.

- Manage Data Pipelines : Build and maintain pipelines for continuous model improvement.

- Collaborate : Work with cross-functional teams to integrate AI features into applications.

- Research Application : Translate cutting-edge research into practical, impactful solutions.

You May Be a Good Fit If You Have :

- Education : BS in Computer Science, ML, or related field; MS/PhD preferred.

- Technical Skills : Proficient with onnx/pytorch; familiar with model serving (ex-Triton Inference Server).

- Research & Coding : Experience in applied research, strong coding skills, and problem-solving.

- Passion for AI : Expertise in AI areas such as Text Summarization, Speech Recognition, or Conversational AI.

- Deployment Experience : Experience in deploying and scaling AI models in production with real-time processing needs - is a plus.

- Analytical Skills : Strong in error analysis and model debugging for speech and language models.

Minimum education :