# Machine Learning Engineer - TS/SCI with Polygraph

**Company**: GDIT
**Location**: McLean, VA
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $168,300 - $227,700
**Category**: Data Science
**Industry**: Technology

**Apply**: https://gdit.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/USA-VA-McLean/Machine-Learning-Engineer---TS-SCI-with-Polygraph_RQ229011-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e7ea3d85-4b0

## Description

Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Engineer. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.

At GDIT, people are our differentiator. As a Machine Learning Engineer, you will help ensure today is safe and tomorrow is smarter.

**HOW A MACHINE LEARNING ENGINEER WILL MAKE AN IMPACT**

- Develop and adapt Large Language Models (LLM) and Natural Language Processing (NLP) methodologies using artificial intelligence and machine learning (AI/ML) frameworks and programming languages to create new capabilities to improve analytic workflows and address key intelligence questions.

**WHAT YOU’LL NEED TO SUCCEED:**

- Education: Bachelor or Master’s Degree in an IT discipline or the equivalent combination of education, technical certifications or training, or work experience

- Experience: 8+ years

- Technical skills:

- Professional or academic experience working with modern deep learning frameworks such as PyTorch, TensorFlow, or Keras.

- Hands-on experience using GPUs for accelerated computing.

- Professional or academic experience in testing, evaluating, or validating the performance of AI systems (with a focus on LLM-based systems).

- Professional or academic experience in experiment design and execution to test the performance of LLMs against a benchmark.

- Experience tuning neural networks (including LLMs) on custom datasets and applying them to specific use cases.

- Experience building AI/ML models and ensembles, selecting appropriate Python libraries, preparing data, performing analyses, and evaluating model performance.

- Proficiency in Python or R

- Solid SQL skills, including working with to include using common table expressions, set operations, aggregated functions and nested subqueries.

- Experience using version control tools such as GitHub and Jenkins.

- Security Clearance Level: TS/SCI with Polygraph

- Location: McLean, VA, On Customer Site

**Skills and abilities desired:**

- Experience working with Hugging Face Transformers and its model hub.

- Demonstrated professional or academic experience in the development of benchmarks to measure LLM performance.

- Experience with cloud-based development and architecture.

- Experience with front-end or application frameworks like Flask.

- Ability to build text-focused machine learning solutions (classification, topic modeling) using SciKit-Learn or deep-learning approaches.

- Experience developing applications for semantic search.

- Proficiency creating dashboards and visualizations in Tableau.

- Ability to communicate modeling decisions, methodologies, and results clearly to technical and non-technical audiences.

- Experience building or using verification and validation test benches.

- Familiarity with Explainable AI (XAI) techniques.

- Experience working with ONNX (Open Neural Network Exchange).

**Benefits:**

- 401K with company match

- Comprehensive health and wellness packages

- Internal mobility team dedicated to helping you own your career

- Professional growth opportunities including paid education and certifications

- Cutting-edge technology you can learn from

- Rest and recharge with paid vacation and holidays

## Skills

### Required
- Artificial Intelligence (AI)
- Keras
- Language Models
- PyTorch
- Tensorflow
- Python
- R
- SQL
- GitHub
- Jenkins
- Hugging Face Transformers

### Nice to have
- cloud-based development and architecture
- front-end or application frameworks like Flask
- SciKit-Learn
- deep-learning approaches
- semantic search
- Tableau
- Explainable AI (XAI) techniques
- ONNX (Open Neural Network Exchange)

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Source: [Apply at gdit.wd5.myworkdayjobs.com](https://gdit.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/USA-VA-McLean/Machine-Learning-Engineer---TS-SCI-with-Polygraph_RQ229011-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)