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AI Developer – Product-Centric
Job in
Sacramento, Sacramento County, California, 95828, USA
Listed on 2026-01-17
Listing for:
Apexon Technology
Full Time
position Listed on 2026-01-17
Job specializations:
-
IT/Tech
AI Engineer
Job Description & How to Apply Below
Job Overview
We are seeking a motivated Junior AI Developer with a strong focus on product development to join our dynamic team. The ideal candidate is passionate about building and optimizing AI-driven solutions, with hands‑on experience in document intelligence platforms. This role offers the opportunity to contribute directly to the development, deployment, and ongoing improvement of AI products within a collaborative environment.
Key Responsibilities- Actively participate in the training and fine‑tuning of Google Doc AI models, ensuring alignment with evolving product requirements and business objectives.
- Monitor, maintain, and manage AI models in production environments; troubleshoot issues to ensure system reliability, stability, and optimal performance.
- Diagnose and resolve Doc AI model‑related issues using strong analytical and technical skills to maintain seamless operation.
- Analyze model performance, identify bottlenecks, and implement improvements to enhance speed, accuracy, and overall efficacy.
- Design, develop, and deploy AI models on AWS platforms; collaborate with cross‑functional teams to integrate solutions into broader product ecosystems.
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience.
- Strong product‑oriented approach with the ability to translate business needs into effective technical solutions.
- Collaboration & Problem‑Solving:
Excellent problem‑solving skills, attention to detail, and ability to work independently or as part of a collaborative team. - Demonstrated experience in training and managing Google Doc AI models in production settings.
- Troubleshooting & Optimization:
Familiarity with diagnosing, troubleshooting, and optimizing machine learning models. - Cloud Deployment:
Experience deploying machine learning models on AWS cloud infrastructure.
Intelligent Processing updates based on the business requests
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