AI/ML Engineer

Mc3 Partners

MD

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JOB DETAILS

JOB TYPE

Full-time

SKILLS

Algorithms, Analysis Skills, Application Integration, Artificial Intelligence (AI), Business Operations, C Programming Language, Communication Skills, Computer Science, Continuous Improvement, Data Management, Data Modeling, Data Quality, Data Science, Data Structures, Deep Learning, Full Scope Polygraph, Java, Knowledge Representation, Machine Learning, Mathematics, Performance Metrics, Performance Modeling, Problem Solving Skills, Programming Languages, Prototyping, Python Programming/Scripting Language, R Programming Language, Requirements Validation/Verification, Sensitive Compartmented Information (SCI), Software Architecture, Software Development, System Integration (SI), Team Lead/Manager, Test Plan/Schedule, Testing, Top Secret Clearance

LOCATION

POSTED

30+ days ago

AI/ML Engineer

About The Role
Designs, develops, tests, and operationalizes algorithms to solve complex business challenges and mission requirements. Models are built to learn from data and generate predictions aligned with customer-defined business logic and operational needs.

Demonstrates proficiency across model architecture, data pipeline integration, and the application, interpretation, and presentation of performance metrics. Maintains a strong understanding of foundational concepts in application development, infrastructure management, data engineering, and data governance.

Responsible for training, retraining, deploying, scheduling, monitoring, and continuously improving models based on iterative user and system feedback to deliver scalable, high-performance solutions. May lead geographically distributed teams and frequently serve as the primary point of contact for related technical matters, requiring strong analytical thinking, problem-solving ability, and exceptional communication skills.

Technical & Engineering Expertise

Experience working with various ML libraries, packages, and frameworks
Experience with standard machine learning frameworks such as: PyTorch or TensorFlow
Design or select appropriate data and knowledge representation methods
Recognize and apply software architecture, data modeling, and data structure principles
Transform data science prototypes into scalable production solutions
Provide system integration oversight

Core AI/ML Capabilities

Select appropriate datasets for machine learning applications
Perform statistical analysis and data interpretation
Run and evaluate machine learning algorithms
Use analytical results to improve and optimize models
Train and retrain systems as required
Research and implement a broad range of AI/ML algorithms and tools
Verify data integrity and model output quality
Identify data distribution differences that may impact model performance

Testing, Evaluation & Validation

Run standard testing and evaluation protocols
Oversee testing and evaluation of AI/ML algorithms through iterative design processes
Ensure solutions meet verification and validation requirements

Qualifications
Experience & Education Requirements

Minimum of 5 years of experience in applied machine learning on programs/contracts of similar scope, type, and complexity
Master’s or Ph.D. degree in one of the following from an accredited college or university:
- Advanced Mathematics
- Artificial Intelligence
- Data Science
- Computer Science
- Deep Learning
A relevant Bachelor’s degree plus 5 additional years of machine learning experience may be substituted for a Master’s degree.
An active TS/SCI with Full Scope Poly is required.

Desired Qualifications:

Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, is desired.

About the Company

Mc3 Partners

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