Qureos Mentor

PMAT Inc.

<div>This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. 
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. 
We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. 
Whether you&rsquo;re an experienced engineer or just beginning your career, you&rsquo;ll work alongside experts who are committed to solving mission-critical problems. If you&rsquo;re passionate about using your skills to make a real difference, apply today and become part of a team that&rsquo;s shaping the future of defense technology! 
About the Role: PMAT is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. 
Responsibilities:
<ul>
<li>Design, develop, and implement machine learning models and algorithms for naval applications.</li>
<li>Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.</li>
<li>Perform data preprocessing, feature engineering, model evaluation, and validation.</li>
<li>Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.</li>
<li>Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.</li>
<li>Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.</li>
<li>Contribute to distributed computing and parallel processing approaches to optimize ML model performance.</li>
<li>Participate in CI/CD pipeline development, automation, and DevSecOps workflows.</li>
<li>Apply cybersecurity principles in the design and deployment of machine learning systems.</li>
<li>Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.</li>
<li>Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.</li></ul> 


Required Skills and Experience:
<ul>
<li>Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.</li>
<li>Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.</li>
<li>Strong programming skills in Python.</li>
<li>Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).</li>
<li>Familiarity with software engineering best practices, including Git.</li>
<li>Strong programming skills in Java, C++, Go, or Rust.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Ability to work effectively in a collaborative team environment.</li>
<li>Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.</li>
<li>Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.</li>
<li>Ability to perform activities on a recurring basis during shipboard operations or testing evolutions.</li>
<li>Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).</li>
<li>Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul> 


Preferred Skills and Experience:
<ul>
<li>Experience with distributed computing and parallel processing.</li>
<li>Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).</li>
<li>Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.</li>
<li>Experience with cloud-native architecture and software API design.</li>
<li>Experience integrating machine learning into operational DoD systems or edge computing environments.</li>
<li>Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.</li>
<li>Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred).</li></ul> 


Education and Certification Requirements:
<ul>
<li>Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics, OR Equivalent years of relevant experience in lieu of a degree</li>
<li>Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus</li></ul> 


Citizenship and Clearance Requirements:
<ul>
<li>US Citizenship</li>
<li>No dual citizenship</li>
<li>Active DoD TS clearance required 
</li>
<li>Active DOD TS SCI preferred</li></ul> 


Location:
<ul>
<li>On site, 1ST SPACE BRIGADE, FORT CARSON, CO</li></ul> 


Travel:
<ul>
<li>Travel required up to 15%</li></ul> 


Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. 
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

#CJ</div>

Senior Machine Learning Engineer (Op AI) - TS clearance - Fort Carson, CO

<div>This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. 
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. 
We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. 
Whether you&rsquo;re an experienced engineer or just beginning your career, you&rsquo;ll work alongside experts who are committed to solving mission-critical problems. If you&rsquo;re passionate about using your skills to make a real difference, apply today and become part of a team that&rsquo;s shaping the future of defense technology! 
About the Role: PMAT is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. 
Responsibilities:
<ul>
<li>Design, develop, and implement machine learning models and algorithms for naval applications.</li>
<li>Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.</li>
<li>Perform data preprocessing, feature engineering, model evaluation, and validation.</li>
<li>Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.</li>
<li>Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.</li>
<li>Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.</li>
<li>Contribute to distributed computing and parallel processing approaches to optimize ML model performance.</li>
<li>Participate in CI/CD pipeline development, automation, and DevSecOps workflows.</li>
<li>Apply cybersecurity principles in the design and deployment of machine learning systems.</li>
<li>Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.</li>
<li>Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.</li></ul> 


Required Skills and Experience:
<ul>
<li>Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.</li>
<li>Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.</li>
<li>Strong programming skills in Python.</li>
<li>Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).</li>
<li>Familiarity with software engineering best practices, including Git.</li>
<li>Strong programming skills in Java, C++, Go, or Rust.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Ability to work effectively in a collaborative team environment.</li>
<li>Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.</li>
<li>Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.</li>
<li>Ability to perform activities on a recurring basis during shipboard operations or testing evolutions.</li>
<li>Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).</li>
<li>Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul> 


Preferred Skills and Experience:
<ul>
<li>Experience with distributed computing and parallel processing.</li>
<li>Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).</li>
<li>Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.</li>
<li>Experience with cloud-native architecture and software API design.</li>
<li>Experience integrating machine learning into operational DoD systems or edge computing environments.</li>
<li>Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.</li>
<li>Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred).</li></ul> 


Education and Certification Requirements:
<ul>
<li>Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics, OR Equivalent years of relevant experience in lieu of a degree</li>
<li>Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus</li></ul> 


Citizenship and Clearance Requirements:
<ul>
<li>US Citizenship</li>
<li>No dual citizenship</li>
<li>Active DoD TS clearance required 
</li>
<li>Active DOD TS SCI preferred</li></ul> 


Location:
<ul>
<li>On site, NAVY POST GRADUATE SCHOOL, MONTEREY, CA</li></ul> 


Travel:
<ul>
<li>Travel required up to 15%</li></ul> 


Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. 
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

#CJ</div>

Senior Machine Learning Engineer (Op AI) - TS clearance - Monterey, CA

<div>This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. 
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. 
We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. 
Whether you&rsquo;re an experienced engineer or just beginning your career, you&rsquo;ll work alongside experts who are committed to solving mission-critical problems. If you&rsquo;re passionate about using your skills to make a real difference, apply today and become part of a team that&rsquo;s shaping the future of defense technology! 
About the Role: PMAT is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. 
Responsibilities:
<ul>
<li>Design, develop, and implement machine learning models and algorithms for naval applications.</li>
<li>Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.</li>
<li>Perform data preprocessing, feature engineering, model evaluation, and validation.</li>
<li>Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.</li>
<li>Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.</li>
<li>Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.</li>
<li>Contribute to distributed computing and parallel processing approaches to optimize ML model performance.</li>
<li>Participate in CI/CD pipeline development, automation, and DevSecOps workflows.</li>
<li>Apply cybersecurity principles in the design and deployment of machine learning systems.</li>
<li>Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.</li>
<li>Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.</li></ul> 


Required Skills and Experience:
<ul>
<li>Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.</li>
<li>Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.</li>
<li>Strong programming skills in Python.</li>
<li>Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).</li>
<li>Familiarity with software engineering best practices, including Git.</li>
<li>Strong programming skills in Java, C++, Go, or Rust.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Ability to work effectively in a collaborative team environment.</li>
<li>Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.</li>
<li>Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.</li>
<li>Ability to perform activities on a recurring basis during shipboard operations or testing evolutions.</li>
<li>Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).</li>
<li>Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul> 


Preferred Skills and Experience:
<ul>
<li>Experience with distributed computing and parallel processing.</li>
<li>Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).</li>
<li>Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.</li>
<li>Experience with cloud-native architecture and software API design.</li>
<li>Experience integrating machine learning into operational DoD systems or edge computing environments.</li>
<li>Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.</li>
<li>Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred).</li></ul> 


Education and Certification Requirements:
<ul>
<li>Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics, OR Equivalent years of relevant experience in lieu of a degree</li>
<li>Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus</li></ul> 


Citizenship and Clearance Requirements:
<ul>
<li>US Citizenship</li>
<li>No dual citizenship</li>
<li>Active DoD TS clearance required 
</li>
<li>Active DOD TS SCI preferred</li></ul> 


Location:
<ul>
<li>On site, NAVWAR WASHINGTON LIASION OFFICE (WLO) AND PENTAGON</li></ul> 


Travel:
<ul>
<li>Travel required up to 15%</li></ul> 


Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. 
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

#CJ</div>

Senior Machine Learning Engineer (Op AI) - TS clearance - Washington, D.C.

<div>This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. 
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. 
We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. 
Whether you&rsquo;re an experienced engineer or just beginning your career, you&rsquo;ll work alongside experts who are committed to solving mission-critical problems. If you&rsquo;re passionate about using your skills to make a real difference, apply today and become part of a team that&rsquo;s shaping the future of defense technology! 
About the Role: PMAT is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. 
Responsibilities:
<ul>
<li>Design, develop, and implement machine learning models and algorithms for naval applications.</li>
<li>Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.</li>
<li>Perform data preprocessing, feature engineering, model evaluation, and validation.</li>
<li>Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.</li>
<li>Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.</li>
<li>Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.</li>
<li>Contribute to distributed computing and parallel processing approaches to optimize ML model performance.</li>
<li>Participate in CI/CD pipeline development, automation, and DevSecOps workflows.</li>
<li>Apply cybersecurity principles in the design and deployment of machine learning systems.</li>
<li>Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.</li>
<li>Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.</li></ul> 


Required Skills and Experience:
<ul>
<li>Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.</li>
<li>Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.</li>
<li>Strong programming skills in Python.</li>
<li>Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).</li>
<li>Familiarity with software engineering best practices, including Git.</li>
<li>Strong programming skills in Java, C++, Go, or Rust.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Ability to work effectively in a collaborative team environment.</li>
<li>Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.</li>
<li>Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.</li>
<li>Ability to perform activities on a recurring basis during shipboard operations or testing evolutions.</li>
<li>Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).</li>
<li>Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul> 


Preferred Skills and Experience:
<ul>
<li>Experience with distributed computing and parallel processing.</li>
<li>Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).</li>
<li>Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.</li>
<li>Experience with cloud-native architecture and software API design.</li>
<li>Experience integrating machine learning into operational DoD systems or edge computing environments.</li>
<li>Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.</li>
<li>Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred).</li></ul> 


Education and Certification Requirements:
<ul>
<li>Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics, OR Equivalent years of relevant experience in lieu of a degree</li>
<li>Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus</li></ul> 


Citizenship and Clearance Requirements:
<ul>
<li>US Citizenship</li>
<li>No dual citizenship</li>
<li>Active DoD TS clearance required 
</li>
<li>Active DOD TS SCI preferred</li></ul> 


Location:
<ul>
<li>On site, BUCKLEY SPACE FORCE BASE, DENVER, CO</li></ul> 


Travel:
<ul>
<li>Travel required up to 15%</li></ul> 


Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. 
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

#CJ</div>

Senior Machine Learning Engineer (Op AI) - TS clearance - Aurora, CO

<div>This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. 
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. 
We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. 
Whether you&rsquo;re an experienced engineer or just beginning your career, you&rsquo;ll work alongside experts who are committed to solving mission-critical problems. If you&rsquo;re passionate about using your skills to make a real difference, apply today and become part of a team that&rsquo;s shaping the future of defense technology! 
About the Role: PMAT is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. 
Responsibilities:
<ul>
<li>Design, develop, and implement machine learning models and algorithms for naval applications.</li>
<li>Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.</li>
<li>Perform data preprocessing, feature engineering, model evaluation, and validation.</li>
<li>Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.</li>
<li>Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.</li>
<li>Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.</li>
<li>Contribute to distributed computing and parallel processing approaches to optimize ML model performance.</li>
<li>Participate in CI/CD pipeline development, automation, and DevSecOps workflows.</li>
<li>Apply cybersecurity principles in the design and deployment of machine learning systems.</li>
<li>Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.</li>
<li>Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.</li></ul> 


Required Skills and Experience:
<ul>
<li>Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.</li>
<li>Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.</li>
<li>Strong programming skills in Python.</li>
<li>Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).</li>
<li>Familiarity with software engineering best practices, including Git.</li>
<li>Strong programming skills in Java, C++, Go, or Rust.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Ability to work effectively in a collaborative team environment.</li>
<li>Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.</li>
<li>Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.</li>
<li>Ability to perform activities on a recurring basis during shipboard operations or testing evolutions.</li>
<li>Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).</li>
<li>Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul> 


Preferred Skills and Experience:
<ul>
<li>Experience with distributed computing and parallel processing.</li>
<li>Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).</li>
<li>Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.</li>
<li>Experience with cloud-native architecture and software API design.</li>
<li>Experience integrating machine learning into operational DoD systems or edge computing environments.</li>
<li>Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.</li>
<li>Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred).</li></ul> 


Education and Certification Requirements:
<ul>
<li>Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics, OR Equivalent years of relevant experience in lieu of a degree</li>
<li>Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus</li></ul> 


Citizenship and Clearance Requirements:
<ul>
<li>US Citizenship</li>
<li>No dual citizenship</li>
<li>Active DoD TS clearance required 
</li>
<li>Active DOD TS SCI preferred</li></ul> 


Location:
<ul>
<li>On site, AIR FORCE TENCAP, COLORADO SPRINGS, CO</li></ul> 


Travel:
<ul>
<li>Travel required up to 15%</li></ul> 


Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. 
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

#CJ</div>

Senior Machine Learning Engineer (Op AI) - TS clearance – Colorado Springs, CO

<div>This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. 
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. 
We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. 
Whether you&rsquo;re an experienced engineer or just beginning your career, you&rsquo;ll work alongside experts who are committed to solving mission-critical problems. If you&rsquo;re passionate about using your skills to make a real difference, apply today and become part of a team that&rsquo;s shaping the future of defense technology! 
About the Role: PMAT is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. 
Responsibilities:
<ul>
<li>Design, develop, and implement machine learning models and algorithms for naval applications.</li>
<li>Develop and deploy algorithms, mathematical models, and machine learning models into real-world operational environments.</li>
<li>Perform data preprocessing, feature engineering, model evaluation, and validation.</li>
<li>Collaborate with engineers, data scientists, and mission stakeholders to align ML solutions with operational requirements.</li>
<li>Develop cloud-native ML pipelines using AWS, Azure, Docker, Kubernetes, or equivalent platforms.</li>
<li>Implement ML solutions using frameworks such as TensorFlow, PyTorch, and scikit-learn.</li>
<li>Contribute to distributed computing and parallel processing approaches to optimize ML model performance.</li>
<li>Participate in CI/CD pipeline development, automation, and DevSecOps workflows.</li>
<li>Apply cybersecurity principles in the design and deployment of machine learning systems.</li>
<li>Provide documentation, technical reports, and engineering artifacts consistent with PMAT and government standards.</li>
<li>Stay current with advancements in machine learning, data science, and emerging technologies relevant to naval and DoD applications.</li></ul> 


Required Skills and Experience:
<ul>
<li>Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.</li>
<li>Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.</li>
<li>Strong programming skills in Python.</li>
<li>Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).</li>
<li>Familiarity with software engineering best practices, including Git.</li>
<li>Strong programming skills in Java, C++, Go, or Rust.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Ability to work effectively in a collaborative team environment.</li>
<li>Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.</li>
<li>Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.</li>
<li>Ability to perform activities on a recurring basis during shipboard operations or testing evolutions.</li>
<li>Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).</li>
<li>Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul> 


Preferred Skills and Experience:
<ul>
<li>Experience with distributed computing and parallel processing.</li>
<li>Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).</li>
<li>Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.</li>
<li>Experience with cloud-native architecture and software API design.</li>
<li>Experience integrating machine learning into operational DoD systems or edge computing environments.</li>
<li>Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.</li>
<li>Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred).</li></ul> 


Education and Certification Requirements:
<ul>
<li>Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics, OR Equivalent years of relevant experience in lieu of a degree</li>
<li>Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus</li></ul> 


Citizenship and Clearance Requirements:
<ul>
<li>US Citizenship</li>
<li>No dual citizenship</li>
<li>Active DoD TS clearance required 
</li>
<li>Active DOD TS SCI preferred</li></ul> 


Location:
<ul>
<li>On site, NIWC ATLANTIC LOCATION, CHARLESTON, SC</li></ul> 


Travel:
<ul>
<li>Travel required up to 15%</li></ul> 


Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. 
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

#CJ</div>

Senior Machine Learning Engineer (Op AI) - TS clearance - N. Charleston, SC

<div>This position requires an ACTIVE DoD security clearance. Applicants who do not currently hold an active clearance will not be considered. 
About Us: PMAT is an innovative small business founded with a passion for developing forward-leaning solutions from exceptional people that increase the mission's capability. We focus on designing and building impactful digital solutions that utilize modern cloud, data, and software concepts. Our passion is working on complex and progressive challenges such as edge platform computing, containerizing legacy platforms, distributed data platforms, or heterogeneous data analysis. We recruit, retain, and foster a team motivated to pursue passions, investigate new ways of doing things, and embody an innovative and entrepreneurial spirit. 
We believe in being curious about every element of a problem and experiment relentlessly. We foster continuous learning in an environment that encourages positive collaboration and expands our capabilities. We tap into collective intelligence, acknowledging that the most brilliant people may not be in the room. Above all else, we believe that delivering and demonstrating is more potent than a sheet of paper. We are passionate about mission-centric design and delivering effective capabilities to and for the warfighter. 
Whether you&rsquo;re an experienced engineer or just beginning your career, you&rsquo;ll work alongside experts who are committed to solving mission-critical problems. If you&rsquo;re passionate about using your skills to make a real difference, apply today and become part of a team that&rsquo;s shaping the future of defense technology! 
About the Role: PMAT is seeking a Senior Data Engineer to design, build, and operationalize advanced data pipelines and analytics supporting Naval and DoD mission challenges. This role requires deep experience across data engineering, distributed systems, event streaming, cloud data frameworks, and mission-focused analytics. The Senior Data Engineer will support complex data integration efforts, collaborate with cross-functional engineering teams, and lead data architecture improvements aligned with operational Navy needs. 
Responsibilities:
<ul>
<li>Collaborate with cross-functional teams to understand and address Navy operational challenges using data pipelines and analytics.</li>
<li>Design, develop, and implement data pipelines and analytics for naval applications.</li>
<li>Perform exploratory data analysis, algorithm development, and testing.</li>
<li>Normalize and structure data to common standards for interoperability.</li>
<li>Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.</li>
<li>Develop and deploy data pipelines and analytics in real-world operational environments.</li>
<li>Deploy, monitor, and optimize data pipelines to ensure high performance and reliability.</li>
<li>Implement event streaming pipelines using Apache Kafka, AWS Kinesis, RabbitMQ, or ZeroMQ.</li>
<li>Utilize distributed computing platforms such as AWS Lambda, Dask, or Spark.</li>
<li>Leverage cloud-native tools including AWS S3, RDS, EFS, SNS, and SQS.</li>
<li>Utilize data pipeline frameworks such as AirByte, Apache Airflow, dbt, Apache Iceberg, and Snowflake.</li>
<li>Work with GIS data using ArcGIS, PostGIS, and related tooling.</li>
<li>Implement containerized environments using Docker or Kubernetes.</li>
<li>Apply cybersecurity principles in the context of secure DoD data applications.</li>
<li>Communicate findings and engineering solutions effectively with technical and mission stakeholders.</li></ul> 


Required Skills and Experience:
<ul>
<li>Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages</li>
<li>10 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field.</li>
<li>Willingness to travel</li>
<li>100% On Site willingness</li>
<li>Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.</li>
<li>Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.</li>
<li>Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.</li>
<li>Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).</li>
<li>Ability to operate in a DDIL office environment</li>
<li>Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position.</li>
<li>Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul> 


Preferred Skills and Experience:
<ul>
<li>Experience with large-scale data architecture across secure DoD or government environments.</li>
<li>Experience working with NAVWAR, NIWC Pacific, or naval C2/ISR programs.</li>
<li>Experience architecting data solutions across multi-domain or cross-domain systems.</li>
<li>Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments</li>
<li>Experience with cloud-native data architecture and API design.</li>
<li>Programming experience in Go or Rust.</li>
<li>Proven experience designing, developing, and deploying complex data pipelines.</li>
<li>Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC).</li>
<li>Familiarity with event streaming technologies: (e.g. Kafka, AWS Kinesis, RabbitMQ, ZeroMQ).</li>
<li>Experience deploying, monitoring, and optimizing operational data pipelines.</li>
<li>Expertise in Elasticsearch, Redis, S3, PostgreSQL, or related datastores.</li>
<li>Experience with AWS data services (EFS, RDS, S3, SNS, SQS).</li>
<li>Experience with distributed computing: AWS Lambda, DASK, Spark.</li>
<li>Familiarity with AirByte, Airflow, dbt, Iceberg, Snowflake.</li>
<li>Experience managing, integrating, and retrieving GIS data (ArcGIS, PostGIS).</li>
<li>Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints)</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Excellent communication skills in a collaborative team environment.</li>
<li>Previous experience supporting government agencies or military organizations.</li></ul> 


Education and Certification Requirements:
<ul>
<li>Equivalent years of relevant experience in lieu of degree.</li>
<li>Master of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics.</li>
<li>Additional certifications in data engineering, cloud, geospatial, or cybersecurity are a plus if required by contract.</li></ul> 


Citizenship and Clearance Requirements:
<ul>
<li>US Citizenship</li>
<li>No dual citizenship</li>
<li>Active DoD TS/SCI clearance required</li></ul> 


Location:
<ul>
<li>On Site, NAVWAR WASHINGTON LIASION OFFICE (WLO) AND PENTAGON</li></ul> 


Travel:
<ul>
<li>Up to 15% CONUS, and limited OCONUS if mission requires.</li></ul> 


Work Environment: PMAT offices as needed. In some cases, work in a government facility may be required. Travel may be required for customer engagement, team coordination, and mission execution. 
PMAT is an equal-opportunity employer. We believe in hiring a diverse workforce and sustaining an inclusive, people-first culture. We are committed to non-discrimination on any protected basis, such as disability and veteran status, or any other basis covered under applicable law.

#CJ</div>

Senior Data Engineer (Op AI) - TS clearance - Washington, D.C.

Join PMAT Inc. and explore 18   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.