Artificial Intelligence and Machine Learning (AI/ML) Engineer

General Dynamics IT; Springfield (VA); On-site; USD 162,000 - 219,000; Full time

Job summary

General Dynamics IT in Springfield, VA is seeking a Senior AI/ML Engineer to design, develop, and deploy machine learning solutions within government/defense AI initiatives. The role requires TS/SCI w/ Poly eligibility, US citizenship, 5+ years of related experience, and a Bachelor’s degree.

You will collaborate with data scientists and engineers to advance enterprise AI capabilities. This senior position offers opportunities to work on cutting-edge analytics and secure systems integration.

Qualifications

• Bachelor's degree in a relevant field (BA/BS).
• 5+ years of related experience.
• US citizenship required with ability to obtain TS/SCI w/ Poly.
• Knowledge of AI/ML algorithms and data handling.

Responsibilities

• Develop and deploy machine learning models and AI solutions.
• Process and transform large datasets for model training.
• Evaluate model performance using appropriate metrics.
• Collaborate with senior engineers and data scientists to integrate models into production.

Skills

Algorithms

Artificial Intelligence

Machine Learning

Education

Bachelor of Arts/Bachelor of Science

Job description

Type of Requisition: Regular

Clearance Level Must Currently Possess: None

Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph

Public Trust/Other Required: None

Job Family: Data Science and Data Engineering

Job Qualifications:

Skills:

Algorithms, Artificial Intelligence (AI), Machine Learning (ML), Machine Learning Algorithms Certifications:

None Experience:

5 + years of related experience US Citizenship Required:

Yes

Job Description:

AI/ML ENGINEER SENIOR

At GDIT, our people are our business. We pride ourselves on the work our innovators do to support and secure some of the most complex government, defense, and intelligence projects across the world.

We are passionate about leveraging artificial intelligence and machine learning to solve real-world problems and deliver innovative solutions. Your work in enterprise IT will help our clients overcome evolving demands and missions. Own the opportunity to build your skills and accelerate digital modernization for our clients as you accelerate your career. We wouldn't be successful without our ability to attract new talent to join our team.

Job Description Summary:

Our AI/ML Engineer will use statistical techniques to provide insights into internal or external customer data to guide decision-making and enhance user experience. This will include building machine learning algorithms or work on artificial intelligence system deployments. You will work alongside experienced engineers and data scientists to develop and implement machine learning models and AI solutions. The ideal candidate will have knowledge of computer languages and their applications to enable a system to perform specific functions.

In this position you will Explore and experiment with new algorithms, techniques, and tools to improve model performance and solution quality You will also closely with senior engineers and data scientists to integrate machine learning models into production systems.

MEANINGFUL WORK AND PERSONAL IMPACT

• Model development by supporting the development, training, and optimization of machine learning models for various applications.
• Work with large datasets to clean, preprocess, and transform data into formats suitable for machine learning models.
• Evaluating the performance of machine learning models using the applicable metrics and techniques

GDIT JOB DESCRIPTION:

• Completion of engineering tasks
• Development of solutions to engineering problems of limited scope
• Systems design, development, and integration from the start of a systems life cycle to the end
• Oversight of infrastructure including installing, configuring, testing, and maintaining operating systems, application software, and system management tools
• Perform systems modeling, simulation, and analysis
• Continual maintenance of security, including backup and redundancy strategies
• Documentation for processes and procedures related to engineering projects
• Maintains current knowledge of rapidly changing technology

WHAT YOU'LL NEED TO SUCCEED

Bring your expertise and drive for innovation to GDIT. The AI/ML Engineer Senior must have:

• Education: Bachelor of Arts/Bachelor of Science
• Experience: 5+ years of related experience
• Technical skills:
  • Knowledge of Python or other programming languages
  • Problem solving and an understanding of big data.
  • An understanding and interest in data transformation, model selection, cross-validation, and deployment
  • Interest and experience with big data platform tools
  • Knowledge of statistical techniques
  • Experience working in a collaborative team environment.
• Intuitiveness with an ability to identify and solve complex problems related to rapidly changing technology.
• Ability to effectively articulate technical challenges and solutions.
• Designs and defines system architecture for new or existing computer systems.
• Coordinates system development to include design, modeling, security, integration, and formal testing
• Security clearance level: Must be able to obtain TS/SCI w/Poly
• US citizenship required

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.

#Globalservices

The likely salary range for this position is $161,500 - $218,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements