Job Description 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
Required Skills - 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)
- 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.
Desired Skills #EverforthECS1
ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.
Everforth ECS is the federal segment of
Everforth , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.
Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.
We value:
- Attracting and developing top talent and high-performing teams
- Fostering a culture that is engaging, accountable, and mission-driven
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