AI/ML Engineer

Noblis • Reston, VA

70d • $78,900 - $123,300

About The Position

As an AI/ML Engineer with our team, you will be working with our federal clients to rapidly develop innovative proof of concept, prototype, and enterprise solutions for our clients’ immediate mission challenges. In your role, you may work on multiple projects with teams of other data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. As an AI/ML engineer you will be working closely with federal clients providing services to develop AI/ML models and weights to selected data to facilitate object detection, data triage, search/optimization, inference, facial recognition, behavior detection, and automated discovery and decision making, maintaining model versioning system and experience identifying new vulnerabilities in models. On our team, you will: Identify, apply, and adapt the latest research methodologies and open source solutions Develop and train new machine learning models Identify, curate, and process large data sets Research, apply, analyze, and document technical approaches and their outcomes Have opportunities to use various types of compute resources including on premises hardware and cloud resources.

Requirements

• All degrees must be in a STEM field such as computer science, statistics, data analytics, computer engineering, mathematics, and physics with a graduation date between December 2025 and December 2026
• 0-3 years of relevant experience
• US Citizenship
• Ability to obtain and maintain a Top Secret with SCI and Polygraph

Nice To Haves

• Proficiency with major data science tools and languages such as Python, R, PostgreSQL/SQL, Spark, and Git
• Demonstrated experience with cleaning, managing, optimizing performance with, and processing large volumes of data
• Familiarity with industry best practices for software/hardware optimization when processing large data sets
• Experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics
• Experience with Hadoop, Spark, or other parallel storage/computing processes

Responsibilities

• Identify, apply, and adapt the latest research methodologies and open source solutions
• Develop and train new machine learning models
• Identify, curate, and process large data sets
• Research, apply, analyze, and document technical approaches and their outcomes
• Use various types of compute resources including on premises hardware and cloud resources

Benefits

• Health benefits
• Life insurance
• Disability benefits
• Financial benefits
• Retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees