AI/ML Engineer - Model Development - Secret Clearance

Cognitive Space
Houston, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 195K

Job location

Houston, United States of America

Tech stack

Artificial Intelligence
Artificial Neural Networks
Big Data
Data Files
Data Fusion
Python
Machine Learning
NumPy
TensorFlow
Reinforcement Learning
Jupyter Notebook
Data Processing
PyTorch
Keras
SC Clearance
Pandas
Information Technology
Multiaccess Edge Computing

Job description

  • Develop, train and deploy RL or GNN models to analyze and interpret complex data, enhancing predictive accuracy, and uncovering hidden patterns in large datasets, while ensuring compliance with operational specifications.
  • Design and implement data fusion algorithms to integrate information from multiple sources, ensuring real-time situational awareness.
  • Containerize decision-making algorithms and capabilities for on-edge deployment.
  • Collaborate with cross-functional teams to identify and prioritize AI/ML applications that address key milestones and requirements.

Requirements

We are seeking a highly skilled Machine Learning Engineer to join our innovative team who enjoys working in a dynamic and fast-paced environment while taking ideas from theory into deployment. You will play a crucial role in enhancing our CNTIENT-Optimize automated scheduling solution with cutting-edge machine learning algorithms and models. It is important for you to possess a passion for reinforcement learning (RL) or neural network models, managing complex data sets, and data fusion methodologies, * US Citizenship, Permanent Resident (Green) Card

  • Active Secret clearance or the ability to obtain and maintain one.
  • Bachelor's, Master's degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc.
  • 2-5 years of professional experience as a Machine Learning Engineer, AI Engineer, Applied Scientist, or similar role using RL or neural networks.
  • Comprehensive knowledge of numerical methods, probability, and statistics.
  • Experience with Python, Rust, and with data science tools like Numpy and Pandas.
  • Deep knowledge of machine learning frameworks, including TensorFlow, PyTorch, and Keras.
  • Competence with Jupyter Notebook or similar platforms for development, testing, and presenting findings.
  • Experience in data manipulation, analysis, and visualization.
  • Proficiency in conveying intricate data in a clear and practical manner.

Benefits & conditions

One of the most interesting aspects of working at a startup company is gaining equity, which means our success is your success. In addition to equity in the form of options, we also offer:

  • Flexible Time-Off policy and company holidays
  • Cost-effective health care, dental, and vision with company contributions
  • 401k matching plan with company match
  • Life insurance
  • Short-term and long-term disability

Salary

$160,000 - $195,000

We value job-related knowledge and skills, education, and experience. That's why we will determine your actual level and base salary on a case-by-case basis, considering these factors. We believe this will ensure fair and competitive compensation for you.

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