GDIT is looking to advance Human Language Technologies (HLT), with a focus on refining text and audio translation capabilities. This involves establishing an environment to train custom models for top language types and enabling the organization to train low-resource languages for future priorities.
Requirements
- Experience with the following languages: Python, NodeJS
- Hands on experience working with technologies such as Nifi, Tensorflow, PyTorch, and Sagemaker
- Familiar with audio processing technologies such as Librosa, PyAudio Analysis or Open Smile.
- Familiar with text processing technologies such as NGTK, Spacy, or Stanford Core NLP
- Experience with cloud platforms such as AWS.
- Experience with machine learning and AI
- Familiarity with data management tools
Responsibilities
- Identifying patterns, trends, and anomalies within the data through visualization and statistical techniques
- Create new features or transforming existing ones to improve the performance of machine learning models
- Implementing models into production systems and continuously monitoring their performance to identify potential issues
- Develop complex data flows, or make significant enhancements to existing pipelines.
- Conducts investigations and tests of considerable complexity.
- Researches emerging technologies to determine impact on application execution.
- Provides input to staff involved in writing and updating technical documentation.
Other
- 10 + years of related experience
- US Citizenship Required: Yes
- Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
- Ability to communicate complex data in a simple, actionable way
- Ability to work independently and with team members from different backgrounds
