AI Expert

AI Expert

Company: Everforth ECS
Location: Hybrid (Memphis, TN) or Fully Remote
Clearance: Must be able to obtain a Public Trust clearance.

Tasks to be Performed

• Analyze user/business data requirements to determine AI needs.
• Determine AI application functionality and perform predictive modeling.
• Maintain documentation for data analysis and machine learning models.
• Develop, analyze, and organize data mapping, diagrams, and flowcharts for AI development.
• Translate technical AI specifications into clear, non-technical requirements.
• Develop and document AI features and predictive models with performance metrics.
• Assist the team with AI cost estimates and implementation.
• Implement best practices for AI scalability, supportability, maintenance, and performance.
• Create documentation for existing and future AI interfaces.
• Develop AI models and algorithms for predictive analytics.
• Apply sound analysis, business practices, and scientific expertise to solve customer problems.
• Determine the accuracy and reasonableness of data using expert knowledge.
• Participate in business requirement gathering sessions, understanding user data requirements, and reconciling technical and business requirements.
• Ensure all solutions adhere to security and compliance controls.
• Mentor and train team members, sharing expertise across contracts, organizational boundaries, and with customers.

Qualifications

• Required:
• Master’s Degree in Computer Science, Data Science, Engineering, Mathematics, Business Management, or a related technical discipline (equivalent work experience in AI may substitute for a degree).
• U.S. citizen or Green Card Holder.
• 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 (e.g., neural networks, decision trees, regression models).
• Knowledge/experience with AI frameworks (e.g., TensorFlow, scikit-learn, PyTorch).
• Experience with AI deployment and productionizing models.
• Familiarity with Agile methodologies and cross-functional teams.
• Extensive understanding of relational and non-relational databases (e.g., Postgres, Oracle, MongoDB, DynamoDB).
• Proficiency in ETL/Batch processing using Python, Java, or Go-lang.
• Experience with AWS cloud integration.
• Experience with RAG pipelines for LLM-based applications and embedding models.
• This role requires extensive experience in data analysis, predictive modeling, and machine learning, focusing on developing AI solutions and building predictive models.

This position is suitable for an AI expert with extensive experience in data analysis, predictive modeling, and machine learning. The role requires expertise in developing AI solutions, building predictive models, and applying machine learning algorithms to drive business insights and decision-making.