AI Engineer II Active TSSCI wpoly clearance

CyberTrends 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 Masters 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 Bachelors degree may be substituted for a Masters degree. Experience with standard machine language frameworks e.g. Pytorch TensorFlow.

Qualifications

• Select appropriate data sets

• 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

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 $5250 annually for work-related acitivies upon prior approval

• Training assistance up to $3000 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.