DATA ENGINEER SR PRINCIPAL

The Data Engineer will work closely with the team to advance Human Language Technologies (HLT), with a focus on refining text and audio translation capabilities.  This position will be responsible for establishing an environment to train custom models for the top language types currently available in our triage tool.  Additionally, this role will enable the organization to develop the capacity to train low-resource languages which may emerge as future priorities.  The individual in this role will work closely with Data Scientists, providing comprehensive support and ensuring seamless coverage. A professional who utilizes statistical analysis, programming skills, and machine learning techniques to collect, clean, analyze, and interpret large datasets, extracting valuable insights and creating predictive models 

KEY 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 

Troubleshoots complex problems and provides customer support as needed 

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. 

Prepares reports on analyses, findings, and project progress. 

EDUCATION AND EXPERIENCE 

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 

10+ years of related software engineering experience. 

REQUIRED QUALIFICATIONS 

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. 

DESIRED QUALIFICATIONS 

Ability to communicate complex data in a simple, actionable way  

Ability to visualize data in the most effective way possible for a given project or study  

Analytical and problem-solving skills  

Experience with machine learning and AI  

Familiarity with data management tools  

Ability to work independently and with team members from different backgrounds  

Excellent attention to detail 

GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
● Growth: AI-powered career tool that identifies career steps and learning opportunities
● Support: An internal mobility team focused on helping you achieve your career goals
● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
● Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.