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

Base-2 Solutions; Maryland; On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Competitive salary

401(k) with company match

Paid time off

Health insurance

Life insurance

Job summary

Base-2 Solutions is seeking an AI/ML Engineer who designs, tests, and productizes AI/ML algorithms to solve business challenges. The role covers model architecture, data pipelines, and performance monitoring, with leadership responsibilities for diverse teams as needed.

The candidate should be proficient in developing scalable AI/ML solutions and have strong analytical, problem-solving, and communication skills, plus experience with ML frameworks and data governance concepts.

Qualifications

• Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity.
• 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.

Responsibilities

• Experience with standard machine learning frameworks (e.g., PyTorch, TensorFlow).
• Select appropriate data sets and perform statistical analysis.
• Run ML algorithms and use results to improve models.
• Train and retrain systems; monitor and evaluate performance.
• Design or select data representations; verify data and model outputs.

Education

Master's or Ph.D. in advanced math / AI / data science / CS / deep learning

Relevant Bachelor's degree + 10 years experience in ML

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 Pay & Benefit Highlights Compensation

Pay & Benefit Highlights

• 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).