Artificial Intelligence and Machine Learning (AI/ML) Engineer

Posted Yesterday
Be an Early Applicant
Springfield, VA, USA
In-Office
162K-219K Annually
Senior level
Aerospace • Information Technology • Professional Services • Security • Software
The Role
Design, develop, train, evaluate, and deploy machine learning models using large datasets. Integrate ML/AI solutions into production systems, perform data preprocessing, model selection, cross-validation, and optimize model performance while supporting system architecture and engineering tasks.
Summary Generated by Built In

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.

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 and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA VA Springfield

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

 



Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Skills Required

  • Bachelor of Arts or Bachelor of Science degree
  • 5+ years of related experience
  • US citizenship
  • Must be able to obtain Top Secret/SCI with Polygraph
  • Knowledge of Python or other programming languages
  • Experience with machine learning and AI algorithms and statistical techniques
  • Experience with big data platform tools
  • Experience in data cleaning, preprocessing, model selection, cross-validation, and deployment
  • Experience working in a collaborative team environment
  • Ability to design and define system architecture and coordinate system development

General Dynamics Information Technology Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about General Dynamics Information Technology and has not been reviewed or approved by General Dynamics Information Technology.

  • Affordable Benefits Pay and benefits are described as good or okay in multiple places, and the overall package is often portrayed as acceptable even when base pay is not viewed as top-tier.
  • Healthcare Strength Medical, dental, and vision plan options are presented as comprehensive, with additional protections like disability and life insurance contributing to a well-rounded health and protection offering.
  • Retirement Support A 401(k) plan with company match is consistently highlighted as part of the total rewards package, supporting longer-term financial planning.

General Dynamics Information Technology Insights

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The Company
HQ: Falls Church, VA
21,625 Employees

What We Do

We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.

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