AI Engineer II — TS/SCI w/poly clearance (2 Positions)

CyberTrend Engineering LLC; Maryland; On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Paid time off

SEP-IRA 10%

Educational assistance

Training assistance

Full benefits

Job summary

CyberTrend Engineering LLC seeks an AI Engineer II with TS/SCI clearance to design, test, and productize AI/ML models for defense programs. You will lead model architecture, data pipelines, and governance, working across teams to deliver scalable AI solutions.

The role requires 5+ years in applied ML, a Master’s or PhD in a relevant field, and expertise with PyTorch/TensorFlow. Strong analysis and communication are essential for this position in Annapolis Junction, MD.

Qualifications

• Five years of applied ML experience in programs/contracts of similar scope.
• Master’s or PhD in AI, data science, CS or deep learning required.
• Alternate: +5 years ML with a relevant Bachelor’s instead of Master’s.
• Experience with ML frameworks like PyTorch and TensorFlow.

Responsibilities

• Design and build AI/ML models to meet business needs.
• Test, validate, and deploy ML solutions at scale.
• Lead ML-related design reviews and integration efforts.
• Provide primary point of contact for AI-related matters.

Skills

Python

Java

R

Statistical analysis

Communication

Education

Master’s or PhD in a relevant field

5 extra years for Master’s substitution

Tools

PyTorch

TensorFlow

Job description

AI Engineer II — TS/SCI w/poly clearance (2 Positions)

• 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.