AI Engineer II — TS/SCI w/poly clearance

CyberTrend Engineering LLC; Maryland; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Generous PTO & 11 holidays

Full medical/dental/vision

SEP-IRA retirement plan (10%)

Educational assistance

Training assistance

Job summary

CyberTrend Engineering LLC in Maryland is seeking an AI Engineer II with TS/SCI and poly clearance to design, train, and productionize AI/ML models for defense programs. You will work on end-to-end model development and integration with data pipelines.

The role may involve leading geographically diverse teams and serving as the primary point of contact for AI-related matters, applying strong analytical, problem-solving, and communication skills.

Qualifications

• Five years of applied ML experience in programs/contracts of similar scope and complexity.
• Master's or Ph.D. in advanced math, AI, data science, CS or deep learning required.
• Experience with ML frameworks such as PyTorch or TensorFlow.
• Expert knowledge of multiple programming languages (Python, Java, C, R).
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Design, train, test, and productionize AI/ML models.
• Interact with data pipelines, governance, and deployment infra.
• Lead geographically diverse teams and act as AI/ML primary point of contact.
• Evaluate model performance using metrics and iterative feedback.

Skills

Python programming

Communication skills

Analytical thinking

Education

Master's degree in AI/ML or related field

Tools

PyTorch

TensorFlow

Job description

AI Engineer II — TS/SCI w/poly clearance

• Annapolis Junction, Maryland

CyberTrend's leadership has 40 years of experience in the industry, and the company continues to serve as a technology leader on many defense projects and programs. Formed in 2010, CyberTrend has long-standing partnerships and clients, including partners like AWS and IBM, government agencies, the intelligence community, and defense contractors. We provide talented and exceptionally qualified IT, architectural, system, and software engineering personnel.

Requires TS/SCI with Poly Clearance

The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models they create should be capable of learning and making predictions as defined by the business logic developed to meet customer requirements. The AI/ML Engineer should be proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. The AI/ML Engineer needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance. Through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback, the AI/ML Engineer designs and creates scalable solutions for optimal performance. The AI/ML Engineer may be responsible for leading geographically diverse teams and will often serve as a primary POC for AI-related matters, so must have exceptional analytical, problem-solving and communication skills. Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.

Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university. 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree. Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.

Qualifications

Perform statistical analysis

Run machine learning algorithms

Use results to improve models

Experience in working with various ML libraries and packages

Run standard test and evaluation protocols

Provide system integration oversight

Oversee test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements

Research and implement a broad range of AI and ML algorithms and tools

Design or select appropriate data and knowledge representation methods

Recognize software architecture, data modeling, and data structures

Transform and convert data science prototypes into scalable solutions

Verify and model output quality

Identify differences in data distribution that affect model performance

Generous and competitive paid time off, scaled based on time in service, plus eleven paid annual holidays.

CyberTrend pays 100% of the cost for the following benefits for its full-time employees: including medical (base plan), dental, vision, disability, life, EAP, and more.

CyberTrend contributes 10% of your monthly gross salary to a SEP-IRA account. This retirement plan is non-contributory for the employee, has no vesting period, and is 100% owned and managed by the employee.

Educational assistance up to $5,250 annually for work-related activities upon prior approval

Training assistance up to $3,000 annually for work-related activities upon prior approval

CyberTrend provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.