Artificial Intelligence/Machine Learning (AI/ML) Engineer Skill with Security Clearance

About the role

The AI/ML Engineer will design, create, test, and deploy AI/ML algorithms to address complex business challenges. They will oversee model architecture, data pipelines, and metrics, ensuring optimal performance through iterative feedback.

Responsibilities

• Select appropriate datasets and perform statistical analysis to improve model accuracy and performance.
• Train and retrain systems using various ML libraries and packages.
• Run standard test and evaluation protocols and provide system integration oversight.
• Oversee the 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, including selecting or designing appropriate data and knowledge representation methods.
• Verify data and model output quality, identify differences in data distribution affecting model performance, and apply knowledge in software architecture, data modeling, and data structures.
• Transform data science prototypes into scalable solutions.

Requirements

• Ability to select appropriate datasets, perform statistical analysis, and run machine learning algorithms to improve model accuracy and performance.
• Experience training and retraining systems when necessary, demonstrating proficiency with various ML libraries and packages.
• Experience running standard test and evaluation protocols and providing system integration oversight.
• Experience overseeing the test and evaluation of AI and ML algorithms through an iterative design process to ensure verification and validation requirements are met.
• Experience researching and implementing a broad range of AI and ML algorithms and tools, including selecting or designing appropriate data and knowledge representation methods.
• Experience recognizing and applying knowledge in software architecture, data modeling, and data structures, and transforming data science prototypes into scalable solutions.
• Experience verifying data and model output quality, identifying differences in data distribution that could affect model performance, and applying knowledge in standard machine learning frameworks such as PyTorch and TensorFlow.
• Five years of experience in applied machine learning in programs and contracts of similar scope, type, and complexity, with a Master’s or Ph.D. in advanced math, artificial intelligence, data science, computer science, or deep learning from an accredited college or university.
• Five additional years of machine learning experience with a relevant Bachelor’s degree may be substituted for a Master’s degree.
• Active TS/SCI clearance with Polygraph is required.

Qualifications

Proficiency in programming languages like Python, Java, C, and R is highly advantageous.

Skills

Knowledge in software architecture, data modeling, and data structures, and ability to transform data science prototypes into scalable solutions.

Benefits

At Kaizen Approach, we offer a robust benefits package including:

• 4 weeks of PTO
• 11 holidays
• Gifted 401k
• Profit sharing
• Paid training

Pay

A variety of factors can impact the final salary offered, including, but not limited to, geographic location, Federal Government contract labor categories and wage rates, relevant work experience, specialized skills and competencies, education, and certifications.

Schedule

Flexible schedule to accommodate a balanced life.

Benefits

We prioritize well-being with premium healthcare, financial and family support, retirement planning, and ongoing learning.

Equal Opportunity/Affirmative Action Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, disability, protected veteran status, or any other protected characteristic.