Junior AI Developer Product-Centric only W2

Overview

On Site
Depends on Experience
Contract - W2

Skills

Junior AI Developer
Google Doc AI
Product-Centric

Job Details

Role Title: Junior AI Developer Product-Centric

Rate: VD: $21-$24 NVD: $24-$26

Location: Sacremento, CA

Required Skills:
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.

Preferred Skills
Collaboration & Problem-Solving: Excellent problem-solving skills, attention to detail, and ability to work independently or as part of a collaborative team.

Responsibilities:
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 Model Training & Fine-Tuning: Actively participate in the training and fine-tuning of Google Doc AI models, ensuring alignment with evolving product requirements and business objectives. Production Monitoring & Maintenance: Monitor, maintain, and manage AI models in production environments; troubleshoot issues to ensure system reliability, stability, and optimal performance. Problem Diagnosis & Resolution: Diagnose and resolve Doc AI model-related issues using strong analytical and technical skills to maintain seamless operation. Performance Optimization: Analyze model performance, identify bottlenecks, and implement improvements to enhance speed, accuracy, and overall efficacy. AWS Model Deployment: Design, develop, and deploy AI models on AWS platforms; collaborate with cross-functional teams to integrate solutions into broader product ecosystems. Qualifications & Attributes Education: Bachelor s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience. Product Mindset: Strong product-oriented approach with the ability to translate business needs into effective technical solutions.

Expected Deliverable(s)
Intelligent Processing updates based on the business requests

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