AI Expert

Job Overview

Everorth ECS is seeking a AI Expert to work hybrid in our Memphis, TN office or fully remote.

Tasks to be Performed: Analyzing user/business data requirements and determining AI needs Determining the functionality of AI applications and performing predictive modeling over time Maintaining documentation for data analysis and machine learning models Developing, analyzing, and organizing data mapping, diagrams, and flowcharts for AI development Translating technical AI specifications into clear non-technical requirements Developing and documenting AI features and predictive models with performance metrics Assisting team with AI cost estimates and implementation Implementing best practices for AI scalability, supportability, maintenance, and performance Creating documentation for existing and future AI interfaces Developing AI models and algorithms for predictive analytics Applying sound analysis, business practices, and scientific expertise to solve a wide variety of customer problems Applying expert knowledge to determine accuracy and reasonableness of data Participating in business requirement gathering sessions, gathering user data requirements, understanding the user requirements, and assisting in the reconciliation of technical and business requirements Ensuring that all solutions follow security and compliance controls Mentoring or training other team members and sharing their expertise within and across contracts, organizational boundaries and with Customers Qualifications Master’s Degree in Computer Science, Data Science, Engineering, Mathematics, Business Management or related technical discipline preferred (equivalent work experience in AI may substitute for a degree) US citizen or Green Card Holder and must be able to obtain a Public Trust clearance.

Job Description

( Postgres, Oracle, MongoDB , DynamoDB etc. ) Proficiency in ETL / Batch processing using Python, Java or Go-lang. Experience in Integration with AWS cloud. Experience in RAG pipelines for LLM-based applications and embedding models.

Key Responsibilities

• Tasks to be Performed: Analyzing user/business data requirements and determining AI needs Determining the functionality of AI applications and performing predictive modeling over time Maintaining documentation for data analysis and machine learning models Developing, analyzing, and organizing data mapping, diagrams, and flowcharts for AI development Translating technical AI specifications into clear non-technical requirements Developing and documenting AI features and predictive models with performance metrics Assisting team with AI cost estimates and implementation Implementing best practices for AI scalability, supportability, maintenance, and performance Creating documentation for existing and future AI interfaces Developing AI models and algorithms for predictive analytics Applying sound analysis, business practices, and scientific expertise to solve a wide variety of customer problems Applying expert knowledge to determine accuracy and reasonableness of data Participating in business requirement gathering sessions, gathering user data requirements, understanding the user requirements, and assisting in the reconciliation of technical and business requirements Ensuring that all solutions follow security and compliance controls Mentoring or training other team members and sharing their expertise within and across contracts, organizational boundaries and with Customers Qualifications Master’s Degree in Computer Science, Data Science, Engineering, Mathematics, Business Management or related technical discipline preferred (equivalent work experience in AI may substitute for a degree) US citizen or Green Card Holder and must be able to obtain a Public Trust clearance.
• The role requires expertise in developing AI solutions, building predictive models, and applying machine learning algorithms to drive business insights and decision-making.

Required Skills and Qualifications

• Tasks to be Performed: Analyzing user/business data requirements and determining AI needs Determining the functionality of AI applications and performing predictive modeling over time Maintaining documentation for data analysis and machine learning models Developing, analyzing, and organizing data mapping, diagrams, and flowcharts for AI development Translating technical AI specifications into clear non-technical requirements Developing and documenting AI features and predictive models with performance metrics Assisting team with AI cost estimates and implementation Implementing best practices for AI scalability, supportability, maintenance, and performance Creating documentation for existing and future AI interfaces Developing AI models and algorithms for predictive analytics Applying sound analysis, business practices, and scientific expertise to solve a wide variety of customer problems Applying expert knowledge to determine accuracy and reasonableness of data Participating in business requirement gathering sessions, gathering user data requirements, understanding the user requirements, and assisting in the reconciliation of technical and business requirements Ensuring that all solutions follow security and compliance controls Mentoring or training other team members and sharing their expertise within and across contracts, organizational boundaries and with Customers Qualifications Master’s Degree in Computer Science, Data Science, Engineering, Mathematics, Business Management or related technical discipline preferred (equivalent work experience in AI may substitute for a degree) US citizen or Green Card Holder and must be able to obtain a Public Trust clearance.
• 12+ years of experience in information technologies, data analysis, predictive modeling, and machine learning Proven ability to assess data analysis needs and translate them into AI solutions Experience with AI applications and machine learning models Proficiency with data analysis tools and techniques Experience with AI methodologies such as neural networks, decision trees, and regression models Knowledge/experience with AI frameworks such as TensorFlow, scikit-learn, or PyTorch Experience with AI deployment and productionizing models Familiarity with Agile methodologies and working with cross-functional teams Extensive understanding of Relational and Non-relational database.
• Experience in Integration with AWS cloud.
• Experience in RAG pipelines for LLM-based applications and embedding models.
• This position is suitable for an AI expert with extensive experience in data analysis, predictive modeling, and machine learning.

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

ECS is the organization connected with this listing. USA Jobs Today displays this opportunity for job discovery only, so applicants should verify company details, application instructions, and eligibility on the official employer website.