The Role
Design, develop, and productionize AI solutions by analyzing data requirements, building predictive models and RAG/LLM pipelines, documenting models and interfaces, ensuring security/compliance, and mentoring team members while supporting deployment and scalability.
Summary Generated by Built In
Job Summary & Responsibilities
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
- 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.
Skills Required
- US citizen or Green Card Holder and able to obtain a Public Trust clearance.
- 12+ years of experience in information technologies, data analysis, predictive modeling, and machine learning.
- Master's Degree in Computer Science, Data Science, Engineering, Mathematics, Business Management or related technical discipline (or equivalent experience).
- 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 neural networks, decision trees, and regression models.
- Knowledge/experience with 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 databases (Postgres, Oracle, MongoDB, DynamoDB).
- Proficiency in ETL/Batch processing using Python, Java, or Go.
- Experience integrating with AWS cloud.
- Experience in RAG pipelines for LLM-based applications and embedding models.
- Mentoring or training other team members.
ECS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.
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Healthcare Strength — ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
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Retirement Support — A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
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Parental & Family Support — Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.
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The Company
What We Do
ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.
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