AI Expert

Remote from: USA
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Data Science & Analytics
Employment type: Full Time,
Job posted: 5 Jun 2026
Apply before: 5 Jul 2026
Experience level: Senior
Views / Applies: 16 / 6

About ECS

Partnering with leading organizations to deliver powerful solutions for a complex world.

Actively Hiring

AI Summary

Everorth ECS is seeking an AI Expert to work hybrid in Memphis, TN or fully remote. This role involves analyzing user data requirements, developing AI applications, and performing predictive modeling. The ideal candidate has 12+ years of experience in data analysis, machine learning, and AI methodologies like neural networks and regression. Key responsibilities include translating technical AI specs into non-technical requirements, mentoring team members, and ensuring compliance. This position requires a Master's degree in a relevant field, US citizenship or green card, and ability to obtain a Public Trust clearance.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight Requires 12+ years of experience, advanced degree, expertise in multiple AI frameworks, and the ability to mentor others, making it a highly demanding role.

Salary Analysis

AI Insight The offered salary is not specified, but for an AI Expert with 12+ years of experience, the market median is around $180,000. Typically, such senior roles command a premium due to specialized skills and clearance requirements.

Key Skills

Machine Learning Deep Learning TensorFlow PyTorch Predictive Modeling Data Analysis AWS RAG Pipelines Python Agile

Cover Letter Sample

Dear Hiring Manager,

I am writing to express my strong interest in the AI Expert position at Everorth ECS. With over 12 years of experience in data analysis, predictive modeling, and machine learning, I have developed robust AI solutions that drive business insights. My expertise spans TensorFlow, PyTorch, and cloud integration, aligning perfectly with your requirements.

In my previous roles, I have successfully led AI projects from conception to deployment, ensuring scalability and performance. I am adept at translating technical specifications into non-technical requirements and mentoring junior team members. My ability to work with cross-functional teams and adhere to security controls makes me a strong candidate for this hybrid role.

I am eager to bring my skills to Everorth ECS and contribute to innovative AI initiatives. Thank you for considering my application.

Sincerely,
[Your Name]

Possible Interview Questions

Describe a complex AI project you led from conception to deployment. What challenges did you face and how did you overcome them?

I led a project to build a recommendation system for an e-commerce platform using collaborative filtering and neural networks. The main challenge was handling sparse data, which I addressed by implementing matrix factorization and using embedding layers. I also optimized the model for real-time inference using TensorFlow Serving on AWS, ensuring high availability and low latency.

How do you approach translating business requirements into technical AI specifications? Can you give an example?

I start by engaging with stakeholders to understand their goals and pain points. For instance, when a client wanted to reduce customer churn, I translated that into a binary classification problem, identifying key features like usage patterns and support interactions. I then created a decision tree model to flag at-risk customers, which the business could act upon.

Explain your experience with RAG pipelines for LLM applications. What considerations are important for deployment?

I have built RAG pipelines using LangChain and FAISS for document retrieval. Important considerations include chunk size optimization, embedding quality, and latency. For deployment, I ensure the vector database is scalable and the LLM responses are validated for accuracy. Monitoring for drift is also crucial to maintain performance over time.

How do you ensure your AI models are compliant with security and privacy standards? Provide an example.

I incorporate privacy-preserving techniques like differential privacy and data anonymization. In a healthcare project, we implemented role-based access controls and encrypted data in transit and at rest. I also conducted regular audits and used bias detection tools to ensure fairness, meeting HIPAA requirements.

Describe a situation where you mentored a junior team member. What approach did you take?

I mentored a junior data scientist by pairing them on a project involving time series forecasting. I explained the model selection process, walked them through hyperparameter tuning, and reviewed their code for best practices. I also encouraged them to present findings to stakeholders, building their communication skills. They became proficient in implementing ARIMA and LSTM models.

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.
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.
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.