Cloud Computing Solutions Architect

3 weeks ago


Annapolis, Maryland, United States Top Secret Clearance Jobs Full time
Job Overview

About the role: We are seeking a highly skilled Machine Learning Engineer to join our team in providing cutting-edge cloud computing solutions to US Federal agencies. As a Machine Learning Engineer, you will be responsible for developing and deploying advanced ML models to solve diverse challenges and opportunities.

Key Responsibilities:

  • Interact with customers directly to understand their business problems and help them define and implement scalable ML/DL solutions to solve them.
  • Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithms.

About the Team

We value diversity and inclusion at Top Secret Clearance Jobs. Our team is passionate about helping individuals with security clearances find their next career opportunity and get interviews within 48 hours. If you're excited about working at the forefront of Machine Learning and AI, we encourage you to apply.

Compensation and Benefits

The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. In addition to competitive salary, we offer a full range of medical, financial, and other benefits to support your overall well-being.

Requirements and Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
  • Experience programming with at least one software programming language.
  • 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production.

Preferred Qualifications

  • Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience.
  • Graduate degree (MS or PhD) in computer science, engineering, mathematics or related technical/scientific field.


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