Technical Architect AI ML

Santa Clara County, CA - USA

Monthly Salary: Not Disclosed

Posted on: 22 hours ago

Vacancies: 1 Vacancy

Job Summary

Skills / Experience

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
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
Advanced LLM techniques prompt engineering and fine-tuning strategies
AI ethics fairness and Responsible AI deployment
Continuous learning on emerging AI frameworks and architectures
Bachelors or Masters 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

Job / Role Description

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
Identify bottlenecks in model performance and propose solutions
Clearly explain AI concepts and model behavior to technical and non-technical stakeholders
Troubleshoot deployment or integration challenges proactively
Analyze data patterns and model outputs to derive insights
Apply structured thinking to optimize AI workflows and pipelines
Present complex model results in a concise and actionable manner
Collaborate effectively with cross-functional teams
Provide constructive feedback and mentor junior team members
Provides regular updates proactive and due diligent to carry out responsibilities
Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps

Skills / Experience 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 5 years of experience in Python PyTorch TensorFlow or similar fram...

Skills / Experience

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
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
Advanced LLM techniques prompt engineering and fine-tuning strategies
AI ethics fairness and Responsible AI deployment
Continuous learning on emerging AI frameworks and architectures
Bachelors or Masters 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

Job / Role Description

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
Identify bottlenecks in model performance and propose solutions
Clearly explain AI concepts and model behavior to technical and non-technical stakeholders
Troubleshoot deployment or integration challenges proactively
Analyze data patterns and model outputs to derive insights
Apply structured thinking to optimize AI workflows and pipelines
Present complex model results in a concise and actionable manner
Collaborate effectively with cross-functional teams
Provide constructive feedback and mentor junior team members
Provides regular updates proactive and due diligent to carry out responsibilities
Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps