Responsibilities
The Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 serves as the technical lead for enterprise AI/ML initiatives responsible for building scaling and guiding a team of engineers and practitioners. Partners with customer technical leadership to define shape and execute the AI/ML roadmap bringing together deep technical expertise and strong business acumen. Responsible for developing strategy managing stakeholder relationships and enabling scalable high-performing teams.
- Designs develops tests and operationalizes algorithms to solve complex business challenges and mission-critical requirements. Builds models capable of learning from data and generating predictions aligned with customer-defined business logic and objectives.
- Demonstrates expertise across model architecture data pipeline integration and the application interpretation and communication of performance metrics. Maintains strong foundational knowledge of application development infrastructure management data engineering and data governance to support scalable enterprise solutions.
- Responsible for training retraining deploying scheduling monitoring and continuously improving models based on iterative user and system feedback to ensure optimal performance. Leads geographically distributed teams and frequently serves as the primary technical point of contact for related matters requiring strong analytical thinking problem-solving ability and exceptional communication skills. Proficient in multiple programming languages such as Python Java C and R.
Key Role Technical Leadership Responsibilities
- Serve as primary technical point of contact for all AI/ML-related matters with customers and stakeholders
- Lead the design development testing and productization of AI/ML capabilities for mission-critical challenges
- Define and execute AI/ML strategy and roadmaps aligned with mission objectives and customer requirements
- Advise on emerging research areas and technical advancements to support both near-term and long-term goals
- Build lead and scale a diverse technical team including hiring mentoring and professional development
- Contribute to workforce planning labor category definition (LCAT) and staffing strategy as programs mature
- Represent capabilities in customer-facing briefings engagements and technical reviews
- Provide end-to-end system integration oversight across pipelines and enterprise systems
- Transform prototypes into scalable production-ready enterprise solutions
- Design evaluate and operationalize models across commercial cloud-based architectures
Qualifications
- Minimum of 10 years of experience deploying machine learning algorithms.
- Masters or Ph.D. in advanced mathematics artificial intelligence data science computer science or deep learning from an accredited college or university.
- A Bachelors degree plus 7 additional years of relevant experience may substitute for a Masters degree
- Demonstrated expertise in software engineering and model testing and evaluation
- An active TS/SCI with Poly is required.
Additional Desired Qualifications:
- Familiarity with Large Language Models (LLMs)
- Experience with Retrieval-Augmented Generation (RAG) frameworks
- Knowledge of AI agents and agentic workflows
- Expert knowledge of multiple programming languages e.g. Python Java C R is desired.
Peraton offers enhanced benefits to employees working on our critical National Security programs 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 eligible to participate in an attractive bonus plan.
#MDFSP #MPOJobs #AJCM #PeratonRoyalMove
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
$176000 - $282000. 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
ResponsibilitiesThe Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 serves as the technical lead for enterprise AI/ML initiatives responsible for building scaling and guiding a team of engineers and practitioners. Partners with customer technical leadership to define shape and execute th...
Responsibilities
The Artificial Intelligence/Machine Learning (AI/ML) Engineer 3 serves as the technical lead for enterprise AI/ML initiatives responsible for building scaling and guiding a team of engineers and practitioners. Partners with customer technical leadership to define shape and execute the AI/ML roadmap bringing together deep technical expertise and strong business acumen. Responsible for developing strategy managing stakeholder relationships and enabling scalable high-performing teams.
- Designs develops tests and operationalizes algorithms to solve complex business challenges and mission-critical requirements. Builds models capable of learning from data and generating predictions aligned with customer-defined business logic and objectives.
- Demonstrates expertise across model architecture data pipeline integration and the application interpretation and communication of performance metrics. Maintains strong foundational knowledge of application development infrastructure management data engineering and data governance to support scalable enterprise solutions.
- Responsible for training retraining deploying scheduling monitoring and continuously improving models based on iterative user and system feedback to ensure optimal performance. Leads geographically distributed teams and frequently serves as the primary technical point of contact for related matters requiring strong analytical thinking problem-solving ability and exceptional communication skills. Proficient in multiple programming languages such as Python Java C and R.
Key Role Technical Leadership Responsibilities
- Serve as primary technical point of contact for all AI/ML-related matters with customers and stakeholders
- Lead the design development testing and productization of AI/ML capabilities for mission-critical challenges
- Define and execute AI/ML strategy and roadmaps aligned with mission objectives and customer requirements
- Advise on emerging research areas and technical advancements to support both near-term and long-term goals
- Build lead and scale a diverse technical team including hiring mentoring and professional development
- Contribute to workforce planning labor category definition (LCAT) and staffing strategy as programs mature
- Represent capabilities in customer-facing briefings engagements and technical reviews
- Provide end-to-end system integration oversight across pipelines and enterprise systems
- Transform prototypes into scalable production-ready enterprise solutions
- Design evaluate and operationalize models across commercial cloud-based architectures
Qualifications
- Minimum of 10 years of experience deploying machine learning algorithms.
- Masters or Ph.D. in advanced mathematics artificial intelligence data science computer science or deep learning from an accredited college or university.
- A Bachelors degree plus 7 additional years of relevant experience may substitute for a Masters degree
- Demonstrated expertise in software engineering and model testing and evaluation
- An active TS/SCI with Poly is required.
Additional Desired Qualifications:
- Familiarity with Large Language Models (LLMs)
- Experience with Retrieval-Augmented Generation (RAG) frameworks
- Knowledge of AI agents and agentic workflows
- Expert knowledge of multiple programming languages e.g. Python Java C R is desired.
Peraton offers enhanced benefits to employees working on our critical National Security programs 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 eligible to participate in an attractive bonus plan.
#MDFSP #MPOJobs #AJCM #PeratonRoyalMove
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
$176000 - $282000. 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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