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

Base-2 Solutions; Maryland; On-site; USD 130,000 - 200,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

401(k) with match

Paid time off

Job summary

Base-2 Solutions in Maryland seeks an AI/ML Engineer to design, test, and productize AI/ML algorithms that solve business challenges. You will own model architecture, data pipelines, and performance metrics to drive customer outcomes.

The role may involve leading geographically diverse teams and serving as the primary point of contact for AI-related inquiries, applying governance and deployment best practices to deliver scalable, reliable solutions.

Qualifications

• Five years of applied machine learning experience in programs/contracts of similar scope, type, and complexity.
• Master's or Ph.D. in advanced math, AI, data science, CS or deep learning from an accredited university.
• Five additional years of ML experience with a relevant Bachelor’s degree may substitute for a Master’s.

Responsibilities

• Experience with standard ML frameworks (e.g., PyTorch, TensorFlow).
• Select appropriate datasets and perform statistical analysis.
• Train, retrain, deploy, schedule, monitor, and improve models.
• Oversee evaluation protocols and system integration for AI/ML solutions.
• Research and implement a broad range of AI/ML algorithms and tools.
• Transform data science prototypes into scalable production solutions.

Skills

Machine learning experience

Python

Java

R

Education

Master's or PhD in advanced math/AI/data science/CS/deep learning

Bachelor's with 10 years ML experience

Tools

PyTorch

TensorFlow

Job description

Job Description Position Summary Base-2 Solutions is seeking an AI/ML Engineer who 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.

Essential Duties and Responsibilities

• Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
• Select appropriate data sets.
• Perform statistical analysis.
• Run machine learning algorithms.
• Use results to improve models.
• Train and retrain systems when needed.
• 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 modelling, and data structures.
• Transform and convert data science prototypes into scalable solutions.
• Verify data and model output quality.
• Identify differences in data distribution that affect model performance.

Required Qualifications

• Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
• A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
• Five (5) additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.

Preferred Qualifications

• Expert knowledge with multiple programming languages, including: Python Java R.

Required Education and Experience Equivalency

• Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university with Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity.
• Relevant Bachelor's degree with Ten (10) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity.

Required Certifications

None specified.

Required Security Clearance

Active Top Secret/SCI with Full Scope Polygraph

Equal Employment Opportunity

Base-2 Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, sexual orientation, gender identity, genetic information, protected veteran status, or any other characteristic protected by law, and will not be discriminated against on the basis of disability. Learn more:

Pay & Benefit Highlights Compensation

• Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
• Employee referral bonuses up to $10,000 per hired referral.
• Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).

Health

• 100% company-paid medical premiums for employees and eligible dependents.
• Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
• 100% company-paid dental premiums for employees and eligible dependents.
• 100% company-paid vision premiums for employees and eligible dependents.

Income Protection

• 100% company-paid premiums for short-term disability.
• 100% company-paid premiums for long-term disability.
• 100% company-paid premiums for accidental death & dismemberment (AD&D).
• 100% company-paid premiums for life insurance up to $200,000.

Retirement

• 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
• 401(k) pre-tax and Roth options.

Leave

• Up to 20 days of flexible paid time off (PTO).
• 11 paid floating holidays.

Work-Life Balance

• Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).