Artificial Intelligence/Machine Learning Engineer 3 - (Python, Java, Machine Learning)

About the role

Artificial Intelligence/Machine Learning Engineer 3 - (Python, Java, Machine Learning)

Clearance: TS/SCI - Polygraph required Position ID: 25-8953-AIML3

Description:

VISTA Development and Sustainment (MT&E Team). The Artificial Intelligence/Machine Learning (AI/ML) Engineer supports the VISTA project and related AI/ML work.

• Designs, creates, tests, and productizes AI/ML algorithms to solve business challenges.
• Creates AI/ML models capable of learning and making predictions as defined by the business logic developed to meet customer requirements.
• Is proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation.
• Needs familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.
• Designs and creates scalable solutions for optimal performance through an understanding of training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback.
• May be responsible for leading geographically diverse teams.
• Will often serve as a primary POC for AI-related matters.
• Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.
• Demonstrated abilities in software engineering and AI/ML model test and evaluation.
• 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.
• Develop criteria for test and evaluation to include explainability and resiliency.
• Deep understanding of AI logic, semantics, ontologies, and knowledge representation.
• Demonstrated ability to design, evaluate, and productize AI/ML models on a range of commercial cloud-based architectures.
• Design ML algorithms according to customer requirements.
• Research, experiment with, and implement suitable ML algorithms and tools.
• Broaden current AIML frameworks and machine learning libraries.

Qualifications

• Standard AIML3 labor category requirements.

10 years experience deploying machine learning algorithms 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 is required.

7 additional years machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.

Salary Range: $241k-$295k (Annually)

www.akina-inc.com/careers

Compensation

Posted Annualized Salary: $241,000 – $295,000