Kaizen Approach, Inc. · 2 months ago
Artificial Intelligence/Machine Learning (AI/MI) Engineer Skill Level 2
Annapolis Junction, MD
Full-time
Onsite
Senior Level
5+ years expKaizen Approach, Inc. is seeking an Artificial Intelligence/Machine Learning (AI/ML) Engineer to design, create, test, and deploy AI/ML algorithms that address complex business challenges. The role involves developing models that learn and make predictions, ensuring optimal model performance, and collaborating with diverse teams on AI-related initiatives.
Cyber SecurityInformation TechnologyIT Management
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
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
Qualification
Required
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
Preferred
Proficiency in programming languages like Python, Java, C, and R is highly advantageous
Benefits
Premium healthcare
Financial and family support
Retirement planning
Ongoing learning
4 weeks of PTO
11 holidays
Gifted 401k
Profit sharing
Paid training
Company
Kaizen Approach, Inc.
We are guided by the Japanese philosophy of kaizen, often translated as “to become good through change.” Our role is to apply this concept of ongoing improvement to two of the most significant factors in the success of an organization today: the strength of its cybersecurity and the professional development of its employees.
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Al Pickering
CEO
Melissa McCoy
Chief Technology Officer
Company data provided by crunchbase