Responsibilities
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 roleserves as thetechnical 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 thebusiness acumennecessary 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
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 Bachelors degree in Computer Science Engineering Data Science Advanced Mathematics or related technical field or 10 years with a Masters 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
Peraton Overview
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 worlds 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 do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.
Target Salary Range
$229000 - $366000. 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 individuals 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.
EEO
EEO: Equal opportunity employer including disability and protected veterans or other characteristics protected by law.
Required Experience:
IC
ResponsibilitiesPosition OverviewWe 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 roleserves as thetechnical lead for enterpr...
Responsibilities
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 roleserves as thetechnical 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 thebusiness acumennecessary 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
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 Bachelors degree in Computer Science Engineering Data Science Advanced Mathematics or related technical field or 10 years with a Masters 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
Peraton Overview
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 worlds 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 do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.
Target Salary Range
$229000 - $366000. 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 individuals 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.
EEO
EEO: Equal opportunity employer including disability and protected veterans or other characteristics protected by law.
Required Experience:
IC
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