Artificial Intelligence/Machine Learning 2 - (Python, TensorFlow, PyTorch)Clearance: TS/SCI - Polygraph required
Position ID: 25-8904-AIML2
Location: Annapolis Junction, Maryland
Description:The Artificial Intelligence/Machine Learning (AI/ML) Engineer 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.
Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.
- 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.
Position Required Skills:- Standard AIML2 labor category requirements.
- Experience with standard machine language frameworks, e.g. PyTorch, TensorFlow.
AIML2 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.
5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
Salary Range: **$207k-$253k (Annually)
**The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.
Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. 
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