AI Engineer I - Active TS/SCI w/poly clearance

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

he 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.

Two (2) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.  A B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required. Three (3) years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.

Qualifications

• Select appropriate data sets
• Perform statistical analysis
• Run machine learning algorithms
• Use results to improve models
• Train and retrain systems when needed
• Experience in working with various ML libraries and packages
• Run standard test and evaluation protocols
• Provide system integration oversight​​​​​

• Experience with TensorFlow, PyTorch, or Hugging Face.
• Hands-on experience with AWS tools like Sagemaker, Lambda, EC2, and S3. 
• Experience with full-stack software applications (JavaScript, Python, Java etc)
• Solid understanding of data structures, algorithms, and system design.
• Experience in Machine Learning model development including NLP.
• Familiarity with containerization tools.
• Experience working with Large Language Models (LLMs)

Benefits:

• 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 acitivies 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.