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Technical CPG Business Analyst
Job in
Atlanta, Fulton County, Georgia, 30383, USA
Listed on 2026-06-26
Listing for:
eTeam
Full Time
position Listed on 2026-06-26
Job specializations:
-
IT/Tech
AI Evaluation -
Research/Development
AI Evaluation
Job Description & How to Apply Below
Job Title:
Technical CPG Business Analyst
Location:
Atlanta, GA Duration: 06 months Pay Range: $(55.00 - 65.00)/hr on W2 all-inclusive without benefits
Job Description:
- Support the design, development, and validation of an agentic AI solution for R&D teams within a food and beverage organization.
- This role will operate at the intersection of AI engineering, scientific research, and data modeling, working directly with client scientists and researchers to ensure the solution is grounded in accurate scientific context and delivers reliable, high-quality outputs.
- Structuring domain knowledge into a lightweight ontology to guide agent reasoning
- Defining and curating gold-standard test datasets for evaluating system performance
- Validating and tuning agent outputs to ensure scientific accuracy and usability
- This is a hands‑on, delivery‑oriented role requiring both strong analytical rigor and the ability to engage deeply with scientific stakeholders.
- Domain Modeling & Ontology Definition in Biochemistry
- Agent Validation, QA, and Tuning Support
- Scientific Stakeholder Engagement
- Cross-Source Scientific Data Understanding
- Experience working within scientific or R&D environments (food & beverage, biochemistry or similar preferred)
- Experience as a Technical Business Analyst / Product Analyst / Data Analyst in complex systems
- Ability to structure ambiguous domains into clear models, schemas, or ontologies
- Experience working with GenAI systems (RAG, agents, or similar)
- Ability to understand and communicate scientific concepts effectively with SMEs
- Experience with ontologies, knowledge graphs, or semantic layers
- Background in chemistry, biochemistry, food science, or related domain
- Experience building or evaluating LLM-based applications or agent frameworks
- Familiarity with biochemistry and R&D external datasets such as Pub Med, Reactome, etc.
- Experience defining test strategies for AI systems
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