Machine Learning Engineer

$134,597 - $136,850/Yr

GD Information Technology, Inc. - Springfield, VA

Full-time - Mid Level

Remote - Springfield, VA

10,001+ employees

About the position

As an Artificial Intelligence and Machine Learning Engineer Advisor at GDIT, you will lead the design, development, and implementation of machine learning algorithms and models to support the Department of Defense. This role involves addressing challenges in predictive analytics, natural language processing, and computer vision, while ensuring data quality and relevance for model training. You will also be responsible for deploying machine learning models into production, monitoring their performance, and collaborating with cross-functional teams to deliver impactful AI solutions.

Responsibilities

• Design, develop, and implement machine learning algorithms and models.
• Address challenges in predictive analytics, natural language processing, and computer vision.
• Ensure data quality, integrity, and relevance for model training and evaluation.
• Train, validate, and optimize machine learning models using state-of-the-art techniques.
• Evaluate model performance and iterate on model design as needed.
• Design feature engineering solutions to improve model performance.
• Deploy machine learning models into production environments and integrate them with existing systems.
• Monitor model performance and implement automated monitoring systems.
• Document technical designs and best practices for AI solutions.
• Collaborate with cross-functional teams to understand requirements and prioritize projects.
• Coach and provide guidance to less experienced professionals.

Requirements

• 8+ years of related experience in machine learning and software development.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with machine learning libraries and frameworks.
• Understanding of machine learning algorithms including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Knowledge of software development best practices and agile methodologies.

Nice-to-haves

• Experience with Large Language Models and generative AI.
• Familiarity with Machine Learning Operations (MLOps).

Benefits

• 401K with company match
• Comprehensive health and wellness packages
• Professional growth opportunities including paid education and certifications
• Paid vacation and holidays