Artificial Intelligence/Machine Learning (AI/ML) Engineer

RPMGlobal; Annapolis (MD); On-site; USD 120,000 - 170,000; Full time

Job summary

Base-2 Solutions in Annapolis, MD is seeking an AI/ML Engineer to design, implement, test, and productize ML algorithms that address business challenges. The role requires expertise across model architecture, data pipelines, and model evaluation.

You will lead cross-functional efforts, work with PyTorch and TensorFlow, select data sets, run experiments, and translate results into scalable solutions. Strong communication and problem-solving are essential.

Qualifications

• Five (5) years of applied machine learning experience required.
• Master's or Ph.D. in advanced math, AI, data science, CS or deep learning required.
• Five (5) additional years with relevant Bachelor's may substitute for a Master's degree.

Responsibilities

• Design and implement ML models and pipelines.
• Perform statistical analysis and model validation.
• Train and retrain systems and monitor performance.
• Lead research and evaluation of diverse AI/ML algorithms.
• Translate results into scalable production solutions.

Skills

Applied ML

Pytorch

TensorFlow

Python

Education

Master's or Ph.D. in AI/DS/CS

Bachelor's with 10 years experience substitution

Tools

Python

TensorFlow

PyTorch

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