Artificial Intelligence and Machine Learning (AI/ML) Engineer

General Dynamics Information Technology, Inc.

$161K — $218K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of related experience in AI/ML engineering
  • Proficient in algorithms, AI, and machine learning techniques
  • Knowledge of programming languages, preferably Python
  • Understanding of data transformation and model deployment
  • Ability to solve complex technical problems
  • Capacity to work in a collaborative team environment
  • Must be a US citizen and eligible for Top Secret SCI clearance

Responsibilities

  • Develop and optimize machine learning models for various applications
  • Clean, preprocess, and format large datasets for machine learning
  • Evaluate model performance using appropriate metrics
  • Complete engineering tasks within defined scope
  • Design and integrate systems from lifecycle initiation to conclusion
  • Maintain system security and backup strategies
  • Document engineering processes and procedures

Benefits

  • Comprehensive medical, dental, and vision plans
  • 401(k) plan with company match
  • Flexible work weeks and various paid time off options
  • Short and long-term disability benefits
  • Life and accident insurance offerings
  • Regular reviews of benefits to ensure competitiveness
  • Identity verification process leveraging biometrics for hiring security
Full 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

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

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.

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