SageCor Solutions ยท 3 months ago
AI Engineer (TLM - 001)
SageCor Solutions is a growing company providing complete engineering services and full lifecycle System Engineering services in high performance computing and large data analytics. They are seeking an AI Engineer to lead the design and development of AI-driven solutions while collaborating with cross-functional teams and ensuring the integration of AI models within existing software architectures.
HardwareInformation TechnologySoftware
Responsibilities
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
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
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
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
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
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
Qualification
Required
Active TS/SCI w/ Polygraph required
Lead the design and development of AI-driven solutions from conception to deployment, ensuring seamless integration with the existing software architecture
Prototyping new models, writing production-quality code, and maintaining existing AI systems
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
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
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
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
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