Mid-Level AI/ML Engineer [$278k/yr+] TS/SCI-FS Poly

SYSTOLIC, INC.
Annapolis Junction, MD, United States
2 days ago
Apply on www.clearancejobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
7 years minimum
Compensation
$278,000.0
Working hours
Regular working hours

Tech stack

C (Programming Language) Java (Programming Language) Artificial Intelligence Data Distribution Service R (Programming Language) Python (Programming Language) Machine Learning Tensorflow Pytorch Model Architecture Data Pipelines Programming Languages

Job description

  • Design, create, test, and productize AI and machine learning models and algorithms to solve complex challenges.
  • Train, retrain, schedule, and monitor models through iterative system and user feedback.
  • Convert data science prototypes into robust, scalable production solutions using frameworks like PyTorch and TensorFlow., * Develop, evaluate, and deploy machine learning models capable of continuous learning and predictive analysis.
  • Interface with data pipelines, manage infrastructure concepts, and optimize model architecture.
  • Utilize programming languages and frameworks including Python, Java, C, R, PyTorch, and TensorFlow to implement cutting-edge algorithms.
  • Oversee test and evaluation protocols through iterative design processes to verify and validate data and model performance.
  • Select appropriate datasets, conduct statistical analysis, and identify variations in data distribution affecting model output.
  • Provide technical leadership and serve as a primary point of contact for artificial intelligence solutions.

Requirements

  • Degree: Technical bachelor’s degree or equivalent experience
  • Years of experience: 7+ years
  • Total Compensation: $278k+ yearly

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.clearancejobs.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · World Congress 2023

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff Matthias Niehoff · World Congress 2024

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:06 min

Compiling PyTorch environments for advanced time forecasting

Christoph Lohrmann Christoph Lohrmann +1 · World Congress 2026 Europe

2:37 min

Optimizing technical profiles for AI sourcing and recruitment

Mina Golesorkhi Mina Golesorkhi · World Congress 2026 Europe

Videos

See all

Related articles

See all