Artificial Intelligence (AI) Engineer with an active TS/SCI with a Full Sco at Parallel Partners

Annapolis Junction, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Aug, 26

Salary

225000.0

Posted On

21 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Artificial Intelligence, Machine Learning, MLOps, Amazon Web Services, TS/SCI Full Scope Polygraph, Data Analysis, Model Evaluation, Prototyping, Software Architecture, Exploratory Data Analysis

Industry

Information Technology & Services

Description

Job Description Artificial Intelligence (AI) Engineer with an active TS/SCI with a Full Scope Polygraph Security Clearance Required, Hybrid in Annapolis Junction, MD We have an immediate need for an Artificial Intelligence (AI) Engineer who will work closely with system and software engineers to design, prototype, and integrate AI advancements into the existing RAD architecture. This is a transformative position focused on building solutions that augment human intelligence, streamline workflows, and enhance the overall effectiveness of intelligence operations. An active TS/SCI with a Full Scope Polygraph Security Clearance is required. This position is Onsite in Annapolis Junction, MD with 1-2 Remote days/week depending on tasking. Qualifications Artificial Intelligence (AI) Engineer Responsibilities and Qualifications include: - Must have an active TS/SCI Full Scope Polygraph security clearance. - Looking for 1 to 20 years of experience is required with a bachelor’s degree. 4 years of additional experience can be substituted for a bachelor’s degree. 4 years less experience is ok for candidates with a graduate degree. - Design and Development: Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture. This includes prototyping new models, writing production-quality code, and maintaining existing AI systems. - Collaboration and Communication: Serve as a key technical liaison, collaborating with cross-functional teams including system engineers, software developers, and domain experts. Effectively present and articulate recommended AI approaches, discussing the tradeoffs and implications of different implementations with both technical and non-technical stakeholders. - Data Analysis and Modeling: Conduct Exploratory Data Analysis (EDA) on diverse datasets (both structured and unstructured) to inform the data model, identify data quality issues, and determine optimal input formats for AI models. - Model Building and Evaluation: Develop, train, and evaluate a variety of machine learning models, ensuring they meet performance and reliability requirements. Implement robust testing and validation strategies to ensure models are accurate and unbiased. - Continuous Improvement: Stay current with the latest advancements in AI and machine learning, continuously seeking opportunities to apply new technologies and methodologies to improve existing systems and solve complex problems. - Cloud Platforms: Have experience with the Amazon Web Services (AWS) cloud computing platform and machine learning operations (MLOps) tools for deploying and managing machine learning models at scale. Benefits include medical insurance, retirement plan, PTO, etc. Keywords: Annapolis Junction MD Jobs, Artificial Intelligence (AI) Engineer, AI, Artificial Intelligence, Amazon Web Services, AWS, Machine Learning, ML, Machine Learning Operations, MLOps, Machine Learning Models, TS/SCI, Full Scope Polygraph, Hybrid, Work From Home, Maryland Recruiters, Information Technology Jobs, IT Jobs, Maryland Recruiting Looking to hire an Artificial Intelligence (AI) Engineer in Annapolis Junction, MD or in other cities? Our IT recruiting agencies and staffing companies can help. We help companies that are looking to hire Artificial Intelligence (AI) Engineers for jobs in Annapolis Junction, Maryland and in other cities too. Please contact our IT recruiting agencies and IT staffing companies today! Additional Information All your information will be kept confidential according to EEO guidelines. Compensation: USD 140000 - USD 225000 - yearly

Responsibilities

Design, prototype, and integrate AI-driven solutions into the existing RAD architecture to augment human intelligence and streamline workflows. Collaborate with cross-functional teams to develop, train, and evaluate machine learning models while managing deployment via AWS.