AI Engineer (TLM - 001)

11 Minutes ago • All levels
Research Development

Job Description

SageCor Solutions is seeking an AI Engineer to lead the design and development of AI-driven solutions, ensuring seamless integration with existing software architecture. The role involves collaborating with cross-functional teams, conducting data analysis, building and evaluating machine learning models, and staying updated with AI advancements. Experience with AWS and MLOps is required, along with an active TS/SCI w/ Polygraph clearance. This position offers up to 2 days/week telework.
Must Have:
  • Lead the design and development of AI-driven solutions from conception to deployment.
  • Collaborate with cross-functional teams and effectively present recommended AI approaches.
  • Conduct Exploratory Data Analysis (EDA) on diverse datasets.
  • Develop, train, and evaluate a variety of machine learning models.
  • Stay current with the latest advancements in AI and machine learning.
  • Experience with Amazon Web Services (AWS) and machine learning operations (MLOps) tools.
  • Active TS/SCI w/ Polygraph required.

Add these skills to join the top 1% applicants for this job

cross-functional
data-analytics
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aws
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machine-learning

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.

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