Artificial Intelligence/Machine Learning Engineer 2 - (Python, TensorFlow, PyTorch)

About the role

Artificial Intelligence/Machine Learning Engineer 2 - (Python, TensorFlow, PyTorch)

Clearance: TS/SCI - Polygraph required Position ID: 25-8950-AIML2

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.
• 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

• Standard AIML2 labor category requirements.
• Expert knowledge of multiple programming languages, e.g. Python, Java, C, R.
• Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.

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)

www.akina-inc.com/careers

Compensation

Posted Annualized Salary: $207,000 – $253,000