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Artificial Intelligence Operator Jobs in Washington

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Artificial Intelligence Operator information

What is an artificial intelligence operator?

An Artificial Intelligence Operator is a professional responsible for managing, monitoring, and maintaining AI systems and applications. They ensure that AI models perform as expected, troubleshoot issues, and optimize the deployment of AI solutions in various environments. Their role often involves working with data scientists, software engineers, and IT specialists to oversee the lifecycle of AI technologies, including updates, scaling, and compliance. Artificial Intelligence Operators play a crucial role in bridging the gap between AI development and practical, reliable operation in real-world settings.

What are the key skills and qualifications needed to thrive as an artificial intelligence operator?

To thrive as an Artificial Intelligence Operator, you need a solid understanding of computer science fundamentals, data analysis, and AI concepts, typically supported by a relevant degree or technical training. Familiarity with AI platforms, machine learning frameworks (such as TensorFlow or PyTorch), and data management systems is essential, along with certifications in AI or cloud technologies being advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help operators adapt to rapidly changing technologies and collaborate with diverse teams. These skills ensure effective deployment, monitoring, and optimization of AI systems, enabling organizations to leverage AI solutions reliably and ethically.

What are some common challenges faced by artificial intelligence operators when maintaining AI systems in a production environment?

Artificial Intelligence Operators often encounter challenges such as monitoring model performance, detecting data drift, and responding to unexpected system behaviors in real time. They must balance ensuring system uptime with the need to troubleshoot and optimize models as data and business needs evolve. Collaboration with data scientists, engineers, and IT staff is essential to quickly resolve incidents and implement updates or patches. Staying current with best practices in model deployment and ethical AI use also presents an ongoing learning curve.

What is the difference between Artificial Intelligence Operator vs Data Analyst?

AspectArtificial Intelligence OperatorData Analyst
Required CredentialsRelevant certifications in AI, machine learning, or data science; often a degree in computer science or related fieldDegree in statistics, mathematics, or related field; certifications in data analysis tools
Work EnvironmentTech companies, AI development labs, or data-driven organizations; working with AI models and algorithmsBusiness environments, research firms, or consulting; analyzing datasets and generating reports
Employer & Industry UsagePrimarily in AI and tech industries, focusing on AI system operation and maintenanceAcross various industries including finance, marketing, healthcare, focusing on data interpretation

While both roles involve working with data, Artificial Intelligence Operators focus on managing and maintaining AI systems, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills but differ in their primary focus and tools used.

What cities in Washington are hiring for Artificial Intelligence Operator jobs?

Cities in Washington with the most Artificial Intelligence Operator job openings:

Artificial Intelligence and Machine Learning (AI/ML) Engineer

GDIT

Springfield, VA • On-site

$161K - $218K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

87th of 224 rated it services


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.

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 technology solutions 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 mission-ready capabilities in AI, cloud, cyber and software development.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

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About General Dynamics Information Technology

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GDIT is a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense, and intelligence community. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US