Artificial Intelligence​/Machine Learning; AI​/ML Engineer Security Clearance

Position: Artificial Intelligence/Machine Learning (AI/ML) Engineer with Security Clearance
Location: Annapolis Junction

Job Description 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.

Required Skills
* Experience with standard machine language frameworks, e.g. Pytorch, Tensor Flow.
* 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. 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. Desired Skills
* Expert knowledge with multiple programming languages, including:
* Python
* Java
* R Pay & Benefit Highlights Compensation
* Above market fixed salary or hourly pay.
* Up to $10,000 bonus for each referral.
* Additional bonuses for exceptional performance, assisting with business development and company growth. Health
* 100% paid premiums for health insurance. Choose from over 5 gold-level medical plans from Care First, Kaiser and United Healthcare. Choose from PPO, POS. HMO, and HSA-compatible.
* HSA and FSA options.
* 100% paid premiums for dental insurance.
* 100% paid premiums for vision insurance. Income Protection
* 100% paid premiums for short-term disability.
* 100% paid premiums for long-term disability.
* 100% paid premiums for accidental death & dismemberment.
* 100% paid premiums for life insurance with a $200,000 max benefit. Retirement
* 8% company contribution to 401k with immediate vesting.
* 401k pre-tax and Roth options. Leave
* Up to 20 days of flexible paid time off (PTO).
* 11 days of paid floating holidays. Work-Life Balance
* Flexible work schedules including flex time and compressed work period.
* Remote work including partial or fully remote (contract and project-dependent). View our detailed Equal Opportunity Employer Base-2 Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.