- Primary: Python Terraform Cloud Run
- Cloud: Google Cloud Platform (GCP)
- AI/ML: GenAI (Gemini GPT-4) NLP Deep Learning
Role Summary
The AI Engineer will design build evaluate and retrain machine learning and GenAI systems. The role involves close collaboration with AI Architects Cloud Engineers and CRM teams (e.g. Salesforce) with a strong focus on model performance scalability and ethical AI practices.
Key Responsibilities
- Design and implement ML and GenAI models (Gemini GPT-4 NLP Deep Learning)
- Retrain and optimize existing models for accuracy and efficiency
- Evaluate models for performance bias and ethical compliance
- Collaborate with AI Cloud and CRM development teams
- Troubleshoot ML system issues and conduct regular testing
- Document ML systems and processes for audits and future reference
- Stay current with emerging AI/ML technologies and best practices
Required Qualifications
- Bachelors degree in CS IT Computer Engineering or equivalent experience
- Proven experience as an ML / AI Engineer
- Strong Python development skills
- Hands-on experience with GenAI and traditional ML models
- Experience working on GCP
- Strong problem-solving and collaboration skills
Nice to Have
- ML or AI certifications
- Healthcare payer domain experience
- Salesforce or CRM platform experience
- Knowledge of data privacy and compliance standards
Primary: Python Terraform Cloud Run Cloud: Google Cloud Platform (GCP) AI/ML: GenAI (Gemini GPT-4) NLP Deep Learning Role Summary The AI Engineer will design build evaluate and retrain machine learning and GenAI systems. The role involves close collaboration with AI Architects Cloud Engineers a...
- Primary: Python Terraform Cloud Run
- Cloud: Google Cloud Platform (GCP)
- AI/ML: GenAI (Gemini GPT-4) NLP Deep Learning
Role Summary
The AI Engineer will design build evaluate and retrain machine learning and GenAI systems. The role involves close collaboration with AI Architects Cloud Engineers and CRM teams (e.g. Salesforce) with a strong focus on model performance scalability and ethical AI practices.
Key Responsibilities
- Design and implement ML and GenAI models (Gemini GPT-4 NLP Deep Learning)
- Retrain and optimize existing models for accuracy and efficiency
- Evaluate models for performance bias and ethical compliance
- Collaborate with AI Cloud and CRM development teams
- Troubleshoot ML system issues and conduct regular testing
- Document ML systems and processes for audits and future reference
- Stay current with emerging AI/ML technologies and best practices
Required Qualifications
- Bachelors degree in CS IT Computer Engineering or equivalent experience
- Proven experience as an ML / AI Engineer
- Strong Python development skills
- Hands-on experience with GenAI and traditional ML models
- Experience working on GCP
- Strong problem-solving and collaboration skills
Nice to Have
- ML or AI certifications
- Healthcare payer domain experience
- Salesforce or CRM platform experience
- Knowledge of data privacy and compliance standards
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