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Saxon Global

Artificial Intelligence Specialist

Saxon Global, Santa Clara, California, us, 95053

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We have a job opportunity for the position

AI Architect

with one of our clients. If you are interested, please share your latest resume to

Ramesh.s@saxonglobal.com It is highly appreciated if you refer anyone who is available in the job market. Overview

Job Title:

AI Architect Duration:

FTE/C2C - FTE Preferred Job Summary

Educational Qualification

Bachelor’s or master’s degree in computer science, AI/ML, Data Science, or related field Advanced coursework or certifications in machine learning, deep learning, or NLP Strong mathematical and statistical foundation Experience Range

6–10 years of experience in AI/ML/Deep Learning model development 2-3 years Hands-on experience with LLMs, NLP, or speech/voice AI systems 3-5 years of experience deploying AI solutions in production environments Primary (Must have skills) - To be Screened by TA Team

5+ years of experience in Python, PyTorch, TensorFlow, or similar frameworks 3-5 years of experience designing, training, and fine-tuning large language models or AI models 5 years of experience in cloud AI platforms (AWS Sagemaker, Azure ML, GCP AI) 2-3 years of experience Familiarity with model evaluation metrics, bias detection, and optimization 5 years of experience in integrating AI models into applications via APIs or pipelines Key Responsibilities

Design, develop, and deploy advanced AI models to meet business requirements Collaborate with data engineers, LLM Ops, and software teams for end-to-end solutions Evaluate model performance, fine-tune, and ensure scalability and reliability Research emerging AI/ML technologies and propose innovative solutions Mentor junior AI engineers and review code/models for best practices Problem-Solving and Analytical Thinking

Identify bottlenecks in model performance and propose solutions Troubleshoot deployment or integration challenges proactively Analyze data patterns and model outputs to derive insights Apply structured thinking to optimize AI workflows and pipelines Task/Work Updates

Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps Provides regular updates, proactive and due diligent to carry out responsibilities Soft skills / Other skills

To be Evaluated by Hiring Manager (to define how this will be evaluated) Secondary Skills to be planned Post Hiring

Advanced LLM techniques, prompt engineering, and fine-tuning strategies AI ethics, fairness, and responsible AI deployment Continuous learning on emerging AI frameworks and architectures Seniority level

Mid-Senior level Employment type

Full-time Job function

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