Al/ML Engineer Technical Lead - TS/SCI w Poly
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4d

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Al/ML Engineer Technical Lead - TS/SCI w Poly

Peraton -
Laurel, MD

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Job Details

$229,000 - $366,000 a year

Benefits

Health savings account
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Employee assistance program
Vision insurance
Life insurance

Qualifications

AI models
Data transformation pipeline development
Continuous Delivery (CD) implementation
AI platforms (beyond public GPTs)
Computational framework
Maintaining data pipelines
Machine learning cloud services
Machine intelligence
Docker
Agile software development
Distributed computing
DevOps automation
Machine learning libraries
Machine learning frameworks
Project stakeholder communication
MLOps
Cross-functional communication

Full Job Description

About Peraton

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

About The Role

Position Overview

We are seeking a highly skilled AI/ML Engineer Technology Lead to design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions supporting mission-critical enterprise initiatives. This role serves as the technical lead for enterprise AI/ML efforts, responsible for building, growing, and guiding a team of AI/ML engineering and practitioners. This individual collaborates with customer technical leadership to define and realize their AI/ML roadmap and is expected to bring both deep technical expertise and the business acumen necessary to develop strategy, manage stakeholder relationships, and scale a high-performing team.

The ideal candidate combines deep expertise in machine learning, software engineering, cloud-native technologies, and MLOps with strong leadership and customer engagement skills. This individual will help transform AI/ML prototypes into scalable, secure, production-ready enterprise solutions while mentoring technical teams and collaborating with customer leadership.

Key Responsibilities – AI/ML Technical Leadership

Technical Leadership & Strategy

Serve as the primary point of contact (POC) for all AI/ML-related technical matters with customers and stakeholders
Lead the design, development, testing, deployment, and productization of AI/ML technologies supporting mission-critical objectives
Develop and communicate AI/ML strategies and technical roadmaps aligned with customer and mission requirements
Advise leadership on emerging AI/ML technologies, research areas, and industry advancements
Represent AI/ML capabilities during customer engagements, briefings, demonstrations, and technical reviews
Provide technical leadership, mentorship, and guidance to AI/ML engineering teams
Support workforce planning, staffing strategy, hiring, and professional development initiatives

AI/ML Engineering & Development

Design, develop, and optimize scalable machine learning and deep learning models for structured and unstructured data
Transform research prototypes into secure, scalable, production-ready enterprise solutions
Support NLP, predictive analytics, anomaly detection, computer vision, and generative AI initiatives
Evaluate and productize AI/ML models across commercial and government cloud architectures
Integrate AI/ML solutions across enterprise systems, data platforms, and operational environments
Ensure AI/ML solutions meet performance, scalability, reliability, and operational requirements

Cloud, MLOps & Enterprise Integration

Develop production-grade AI/ML pipelines, CI/CD workflows, and MLOps capabilities
Provide system integration oversight across AI/ML pipelines and enterprise platforms
Collaborate with software engineers, cloud architects, cybersecurity teams, and customer stakeholders
Support deployment and optimization of AI/ML solutions across cloud-native and distributed environments
Evaluate emerging technologies and align technical solutions with operational and enterprise objectives

#MDFSP

#peratonroyalmove

Qualifications

Core Competencies

AI/ML Technical Leadership
Cloud & Enterprise Architecture
MLOps & Production AI Systems
Team Building & Mentorship
Strategic Problem Solving
Mission-Focused Innovation
Cross-Functional Collaboration

Required Qualifications

17 years with a Bachelor’s degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 10 years with a Master's Degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 7 years with a Ph.D in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field
Strong proficiency with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras
Experience with cloud platforms including AWS, Azure, or Google Cloud Platform
Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and distributed systems
Strong understanding of data pipelines, model lifecycle management, and scalable AI architectures
Experience operating within Agile or DevSecOps environments
Excellent communication and stakeholder engagement skills
Active/current TS/SCI security clearance with a current polygraph is required.

Preferred Qualifications

Experience supporting Intelligence Community (IC), DoD, or federal government programs
Experience with Large Language Models (LLMs), Generative AI, RAG architectures, and vector databases
Familiarity with AI governance, explainable AI (XAI), and responsible AI practices
Experience with Spark, Kafka, Hadoop, or GPU-enabled distributed computing platforms

Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.

Investing in Your Growth: Selected candidates may be eligible for enhanced professional development opportunities, including training, certification programs, and skill-building experiences tailored to individual strengths, career goals, and role-specific requirements.

Details

Target Salary Range: $229,000 - $366,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

Apply Now

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lead engineer jobs in college park, md

Al/ML Engineer Technical Lead - TS/SCI w Poly

Lead Engineer

Lead Building Engineer

Lead Firewall Engineer

Infrastructure Service Lead (Senior to SME) TS/SCI with Poly REQUIRED

Lead Engineer (Azure)

Lead Platform Engineer

Engineering Lead, Platform Engineering

Lead Software Engineer

QA Lead

Technical Program Director and Site Lead

Lead Engineer

Lead Engineer

Lead Engineer

Lead Test Engineer

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Lead Network Engineer

Lead Test Engineer

Lead Windows Desktop Engineer

Lead ASIC Digital Design Engineer

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About Peraton

About The Role

Position Overview

Key Responsibilities – AI/ML Technical Leadership

Technical Leadership & Strategy

AI/ML Engineering & Development

Cloud, MLOps & Enterprise Integration

Qualifications

Core Competencies

Preferred Qualifications

Details

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