AI/ML Engineer II

Reflexive Concepts; Maryland; On-site; USD 120,000 - 170,000; Full time

Job summary

Reflexive Concepts is seeking an Artificial Intelligence/Machine Learning Engineer in Maryland to design, develop, test, and productize AI/ML algorithms for the FFPP VISTA Development and Sustainment mission. The role focuses on model architecture, data pipeline interactions, and metrics application.

Ideal candidates have 5+ years in applied ML, a Master’s or PhD in a related field, and proficiency with PyTorch and TensorFlow. Remote or hybrid work options are not specified.

Qualifications

• Five years of applied ML experience in similar programs or contracts.
• Ability to select data sets and perform statistical analysis.
• Proven experience implementing ML algorithms and validating results.

Responsibilities

• Select appropriate data sets for modeling.
• Perform statistical analysis to guide model development.
• Run machine learning algorithms and evaluate performance.
• Use results to improve models and iterate on designs.
• Train and retrain systems as needed to maintain accuracy.
• Work with ML libraries and packages to build pipelines.
• Oversee integration and testing of AI/ML components.
• Validate data and model outputs for quality and reliability.

Skills

Applied ML experience

Model architecture

Education

Master's or PhD in AI/ML/DS/CS

Tools

PyTorch

TensorFlow

Job description

Reflexive Concepts is seeking a skilled Artificial Intelligence/Machine Learning Engineer to join our team!

Specifically, we are looking for an AI/ML Engineer to design, create, test, and productize AI/ML algorithms in support of the FFPP VISTA Development and Sustainment (MT&E Team) mission. The AI/ML Engineer should be proficient in model architecture, data pipeline interaction, and metrics application, and familiar with application development, infrastructure management, data engineering, and data governance.

Qualifications

• Five (5) years experience in applied machine learning in programs and contracts of similar scope, type, and complexity
• 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
• Experience with standard machine learning frameworks, e.g. PyTorch, TensorFlow

Required:

• Select appropriate data sets
• Perform statistical analysis
• Run machine learning algorithms
• Use results to improve models
• Train and retrain systems when needed
• Experience 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