Artificial Intelligence/Machine Learning Engineer 1

RealmOne•Central Maryland, MD

12h

About The Position

RealmOne was built on the principle that people matter first and foremost. We believe in providing a strong work/life balance by investing in our employees and encouraging professional and personal growth. We do this by offering exceptional benefits, flexible schedules, and the tools necessary to achieve success through paid training, mentoring, and the opportunity to work alongside top-notch industry professionals. Join us on this journey as we execute this mission-critical contract providing support for data analytics and DevOps engineering! Your effort and expertise are crucial to the success and execution of this impactful mission. This opportunity supports a team of Software Engineers, System Administrators, and Systems Engineers, providing support across a range of mission-critical functions.

Requirements

Proficient in all aspects of model architecture, data pipeline interaction, and metrics application, interpretation, and presentation.
Familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance.
Exceptional analytical, problem-solving and communication skills.
Experience in working with various ML libraries and packages.
Experience with GITLAB.
2 years' experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
A B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science or related STEM discipline from an accredited college or university is required.
Active Security Clearance with appropriate Polygraph

Nice To Haves

Expert knowledge of multiple programming languages, e.g. Python, Java, C, R, a plus.
3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.

Responsibilities

Designs, creates, tests, and productizes AI/ML algorithms to solve business challenges.
Ensures AI/ML models are capable of learning and making predictions as defined by business logic.
Interacts with model architecture, data pipeline, and metrics application, interpretation, and presentation.
Understands training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback.
Designs and creates scalable solutions for optimal performance.
May be responsible for leading geographically diverse teams.
Serves as a primary POC for AI-related matters.
Select appropriate data sets.
Perform statistical analysis.
Run machine learning algorithms.
Use results to improve models.
Train and retrain systems when needed.
Run standard test and evaluation protocols.
Provide system integration oversight.