Job description

Reflexive Concepts is seeking a skilled Artificial Intelligence/Machine Learning Engineer to join our team! 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 Desired: • Software development experience is highly desired • Familiarity with application development, infrastructure management, data engineering, and data governance

Requirements

Must-haves

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

Nice-to-haves

Software development experience is highly desired
Familiarity with application development, infrastructure management, data engineering, and data governance

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaiml

Platform: catsone
Effort: medium