Senior AI Engineer (TS/SCI Poly) - ML Architect & Lead

CyberTrend Engineering LLC; Annapolis (MD); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Generous PTO

Medical, dental, vision

SEP-IRA contributions

Educational assistance

Training allowance

Job summary

CyberTrend Engineering LLC in Annapolis Junction, MD, seeks an AI Engineer III with TS/SCI with Poly clearance to design, develop, test, and productize AI/ML algorithms. You will lead data pipelines, model architecture, and evaluation, ensuring scalable solutions across programs.

Strong communication and leadership skills are essential. Applicants should have 5+ years of ML experience and advanced degrees in AI/DS/CS/Math, with proficiency in PyTorch or TensorFlow and multiple languages

Qualifications

• More than 5 years of applied ML experience required.
• Master's or PhD in AI/DS/CS/Math from an accredited university.
• Experience with PyTorch or TensorFlow.
• Lead and manage geographically diverse AI/ML teams as needed.
• Proficient in multiple programming languages (Python, Java, C, R).

Responsibilities

• Design, create, test, and productize AI/ML algorithms.
• Architect ML models and data pipelines with performance metrics.
• Lead AI initiatives and serve as primary POC for AI matters.
• Oversee test and evaluation of AI/ML algorithms.

Skills

Statistical analysis

ML algorithms

ML libraries

Model evaluation

Data engineering

System integration

Python/Java/C/R

Data modeling

Data representation methods

Education

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

Tools

PyTorch

TensorFlow

Job description

CyberTrend Engineering LLC in Annapolis Junction, MD, seeks an AI Engineer III with TS/SCI with Poly clearance to design, develop, test, and productize AI/ML algorithms. You will lead data pipelines, model architecture, and evaluation, ensuring scalable solutions across programs.

Strong communication and leadership skills are essential. Applicants should have 5+ years of ML experience and advanced degrees in AI/DS/CS/Math, with proficiency in PyTorch or TensorFlow and multiple languages