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Kaizen Solutions Jobs (NOW HIRING)

IT Engineer (Level 3)

Annapolis, MD · On-site

$197K - $280K/yr

Description Kaizen Approach is currently seeking an IT Engineer to develop, implement, maintain ... ensuring solutions meet all performance and security requirements. You will review and test ...

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Kaizen Solutions information

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$65

How much do kaizen solutions jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for kaizen solutions in the United States is $30.60, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $38.46 per hour, depending on experience, location, and employer.

What is the difference between Kaizen Solutions vs Continuous Improvement Specialist?

AspectKaizen SolutionsContinuous Improvement Specialist
CertificationsLean, Six Sigma, KaizenLean, Six Sigma, Kaizen
Work EnvironmentManufacturing, Service, Business ProcessesManufacturing, Service, Business Processes
Industry UsageCommon in manufacturing and corporate sectorsCommon in manufacturing and corporate sectors
Job FocusImplementing continuous improvement strategies using Kaizen principlesAnalyzing processes and applying improvement methodologies

Both roles focus on process improvement using similar methodologies like Lean and Six Sigma. However, Kaizen Solutions typically emphasizes implementing Kaizen principles across various business areas, while Continuous Improvement Specialists often focus on analyzing and optimizing specific processes. The roles are closely related and often overlap, but the term 'Kaizen Solutions' may imply a broader application of Kaizen philosophy within an organization.

What are the key skills and qualifications needed to thrive at Kaizen Solutions, and why are they important?

To thrive at Kaizen Solutions, you typically need strong analytical, problem-solving, and project management skills, often supported by a degree in engineering, computer science, or business. Familiarity with Lean, Six Sigma methodologies, and related certification (such as a Lean Six Sigma Green Belt) is highly valued, along with proficiency in tools like process mapping software and data analysis platforms. Excellent communication, adaptability, and a continuous improvement mindset are key soft skills that help professionals excel in this environment. These abilities are crucial for driving process optimization, delivering measurable results, and fostering innovation within client organizations.

What types of projects and industries do professionals at Kaizen Solutions typically work on, and how does this impact day-to-day responsibilities?

At Kaizen Solutions, team members often engage with clients across a range of industries such as manufacturing, healthcare, and technology, focusing on process improvement and operational efficiency projects. This diversity means that daily responsibilities can include data analysis, facilitating workshops, and collaborating with cross-functional teams to identify and implement solutions. The dynamic nature of client projects encourages continuous learning and adaptability, making each day unique. Professionals here often balance independent analytical work with stakeholder engagement, ensuring solutions are tailored to each client’s needs.

What are Kaizen Solutions?

Kaizen Solutions refer to continuous improvement strategies and practices used by organizations to enhance productivity, efficiency, and quality. The term 'Kaizen' is Japanese for 'change for the better' or 'continuous improvement.' Kaizen Solutions involve everyone in the organization— from management to front-line workers— in identifying small, incremental changes that can improve processes, reduce waste, and deliver better value to customers. These solutions are commonly used in manufacturing but are now widely applied across various industries. The goal is to create a culture where ongoing, small improvements lead to significant long-term benefits.
More about Kaizen Solutions jobs
What cities are hiring for Kaizen Solutions jobs? Cities with the most Kaizen Solutions job openings:
What states have the most Kaizen Solutions jobs? States with the most job openings for Kaizen Solutions jobs include:
Infographic showing various Kaizen Solutions job openings in the United States as of May 2026, with employment types broken down into 6% Internship, 88% Full Time, and 6% Nights. Highlights an 100% In-person job distribution, with an average salary of $63,640 per year, or $30.6 per hour.
Artificial Intelligence\/Machine Learning (AI\/MI) Engineer Sk with Security Clearance

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

Kaizen Approach, Inc

Annapolis Junction, MD

Other

Medical, Retirement, PTO

Posted 20 hours ago


Job 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.