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

Kaizen Approach, Inc.; Maryland; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

4 weeks PTO

11 holidays

401k

Profit sharing

Paid training

Premium healthcare

Retirement planning

Job summary

Kaizen Approach, Inc. seeks an AI/ML Engineer to design, build, test, and deploy advanced ML models addressing complex business challenges.

You will develop models that learn and predict based on customer-defined logic, oversee architecture, data pipelines, and performance metrics, and present findings to stakeholders. You will collaborate with cross-functional teams, serve as the main AI lead for initiatives, and iterate for scalable, high-performing solutions.

Qualifications

• Proven ability to select datasets, perform statistical analysis, and run ML algorithms.
• Experience training/retraining systems and evaluating protocols.
• Ability to transform data science prototypes into scalable solutions.
• Knowledge of software architecture and data modeling.

Responsibilities

• Design, create, test, and deploy AI/ML algorithms addressing business challenges.
• Oversee model architecture, data pipelines, and metrics interpretation.
• Iterate for optimal model performance through monitoring and improvement.
• Collaborate across geographically distributed teams as AI lead.
• Act as main POC for AI initiatives and guides scalable solutions.
• Research and implement a broad range of AI/ML algorithms and tools.

Skills

Python

Java

C

R

Statistical analysis

ML algorithms

Data pipeline

Collaboration

Communication

Education

Master's degree or PhD in a relevant field

Bachelor's degree + 5 years ML exp

Tools

PyTorch

TensorFlow

Job description

Description Kaizen Approach is currently seeking an Artificial Intelligence/Machine Learning (AI/ML) Engineer to design, create, test, and deploy AI/ML algorithms addressing complex business challenges. In this role, you’ll develop AI/ML models that can learn and make predictions according to customer-defined business logic. You’ll oversee all aspects of model architecture, data pipeline interaction, and metrics interpretation and presentation. This position involves ensuring optimal model performance through iterative feedback, monitoring, and improvement. You’ll also collaborate across diverse, often geographically spread teams, serving as the main POC for AI-related initiatives and guiding scalable, high‑performing solutions. Proficiency in programming languages like Python, Java, C, and R is highly advantageous. Requirements: * Must have the ability to select appropriate datasets, perform statistical analysis, and run machine learning algorithms to improve model accuracy and performance.

• Must be capable of training and retraining systems when necessary, demonstrating experience with various ML libraries and packages.
• Must possess the ability to run standard test and evaluation protocols and provide system integration oversight.
• Must be able to oversee the test and evaluation of AI and ML algorithms through an iterative design process to ensure verification and validation requirements are met.
• Must be experienced in researching and implementing a broad range of AI and ML algorithms and tools, including selecting or designing appropriate data and knowledge representation methods.
• Must recognize and apply knowledge in software architecture, data modeling, and data structures, and be able to transform data science prototypes into scalable solutions.
• Must be capable of verifying data and model output quality, identifying differences in data distribution that could affect model performance, with experience in standard machine learning frameworks such as PyTorch and TensorFlow.
• Must have 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.

Salary Range: 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. About Kaizen Approach At Kaizen Approach, we truly care about our team, offering flexibility for a balanced life, competitive compensation, and a robust benefits package that supports you and your family. We prioritize well-being with premium healthcare, financial and family support, retirement planning, and ongoing learning. With 4 weeks of PTO, 11 holidays, gifted 401k, profit sharing, and paid training, we’re committed to your growth and happiness—both at work and beyond! Kaizen Approach is an 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.