Cognitive AI Engineer for Defense & Decision Advantage

Mission Technologies, a division of HII; Washington (District of Columbia); On-site; USD 99,000 - 175,000; Full time

Job summary

HII – Mission Technologies, within All-Domain Operations (ADO), is seeking a Cognitive Science (AI/ML) Engineer. You will apply deep expertise in AI, machine learning, data science, and software engineering to develop algorithms, assess technologies, and provide strategic insights to senior decision-makers.

The engineer evaluates feasibility, creates data-mining architectures, designs AI solutions for large datasets, and integrates AI engines into enterprise systems and modeling environments,

Qualifications

• Demonstrated experience researching, designing, and implementing AI/ML algorithms.
• Strong data-mining, statistical analysis, and large-scale data processing skills.
• Ability to develop analytical architectures and data models.
• Experience integrating AI into enterprise systems and modeling environments.
• RF data processing knowledge is a plus.

Responsibilities

• Support innovative research by evaluating and transitioning emerging technologies.
• Provide strategic assessments of technologies to senior leaders on feasibility and risk.
• Develop data-mining architectures, models, and analytic methodologies for trends in large datasets.
• Research, design, and develop advanced AI algorithms at the intersection of AI and data science.
• Integrate AI engines and ML techniques into modeling and simulation applications.
• Follow DevOps practices and manage tasks to deliver on schedule.

Skills

AI/ML

Data mining

Large-scale data processing

Cloud computing

Containerization

DevOps

Modeling & simulation

RF data processing

Education

Bachelor's degree in related field

Tools

Git

Containerization

Cloud computing

Job description

HII – Mission Technologies, within All-Domain Operations (ADO), is seeking a Cognitive Science (AI/ML) Engineer. You will apply deep expertise in AI, machine learning, data science, and software engineering to develop algorithms, assess technologies, and provide strategic insights to senior decision-makers.

The engineer evaluates feasibility, creates data-mining architectures, designs AI solutions for large datasets, and integrates AI engines into enterprise systems and modeling environments,