SageCor Solutions

AI Engineer (TLM - 001)

SageCor Solutions  •  Maryland (Onsite)  •  21 days ago
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Job Description

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.

Active TS/SCI w/ Polygraph required.

Required technical skills and responsibilities:

  • 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.

Up to 2 days/week Telework

Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.

SageCor Solutions

About SageCor Solutions

Sagecor is a complete engineering services company that employs top-level talent who possess the expertise to provide customers with true full-lifecycle System Engineering Services. Sagecor offers services beginning as early as the Research phase, where basic analysis is performed and prototypes as proof-of-concept are built.

During the crucial planning phase of a system, Sagecor’s team of Systems Engineers, SETA Services professionals, and Knowledge Management experts make sure each customer is prepared to define its program requirements, begin design activities, and manage the planning for development through lifecycle support & sustainment.

After the System Development begins, Sagecor has Hardware and Software engineers prepared to work alongside our customers in the Design and Build of the system. Our processes ensure robust technical expertise, access to time-tested procedures, and successful program execution. When the primary system components are completed, Sagecor’s team of Integration and Test engineers will integrate and test the customer’s system to guarantee the components function as part of the larger system. Upon completion of Acceptance Testing, Sagecor employs Systems Administrators to ensure that the system remains sustained and operational for the length of the mission. Sagecor’s “cradle-to-grave” experts provide our customers with the peace of mind that we can provide the expertise to meet any challenge.

Industry
IT & Software
Company Size
11-50 employees
Headquarters
Baltimore, Maryland
Year Founded
Unknown
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