AI Expert

ECS Tech Inc•Memphis, TN

8h•Hybrid

About The Position

Everorth ECS is seeking an AI Expert to work hybrid in our Memphis, TN office or fully remote. This role requires extensive experience in data analysis, predictive modeling, and machine learning. The expert will be responsible for developing AI solutions, building predictive models, and applying machine learning algorithms to drive business insights and decision-making.

Requirements

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. (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.

Responsibilities

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