Artificial Intelligence/Machine Learning (AI/ML) Engineer

RPMGlobal; Annapolis (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

Base-2 Solutions is seeking an AI/ML Engineer to design, test, and productize AI/ML algorithms that address business challenges. You will work on model architecture, data pipelines, metrics, and governance while communicating results to stakeholders.

You may lead geographically diverse teams and serve as a primary POC for AI-related matters, requiring strong analytical and problem-solving skills and clear communication.

Qualifications

• Minimum 5 years applying machine learning in programs and contracts of similar scope, type, and complexity.
• Master's or Ph.D. in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
• Five (5) additional years of ML experience with a relevant Bachelor's degree may be substituted for a Master's.

Responsibilities

• Experience with standard machine learning frameworks (e.g., PyTorch, TensorFlow).
• Select appropriate data sets for modeling.
• Perform statistical analysis to inform model decisions.
• Run machine learning algorithms and interpret results.
• Train and retrain systems as needed to improve performance.
• Oversee testing and evaluation protocols for AI/ML models.
• Research and implement a broad range of AI/ML algorithms and tools.
• Transform data science prototypes into scalable solutions.
• Verify data and model output quality and robustness.

Skills

Python

Java

R

PyTorch

TensorFlow

ML

Data analysis

Education

Master's or PhD in AI/CS/Data Science

Bachelor's with 5+ years ML experience substitute for Master's

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