Director of AI/ML

Tasks

• Communicate AI outcomes to executives
• Coordinate cross functional compliant AI delivery
• Define AI KPIs and success metrics
• Define AI use cases
• Deliver end to end machine learning lifecycle
• Deploy and monitor machine learning models
• Drive AI innovation in regulated environments
• Ensure responsible AI and explainability
• Hire and develop AI talent
• Implement MLOps best practices
• Lead AI and ML organization
• Lead LLM transformer and RAG initiatives
• Mentor AI and data teams
• Optimize AI systems continuously

Perks/Benefits

• Fully remote work
• Inclusive and collaborative culture
• Leadership visibility
• Professional growth and leadership development

Skills/Tech-stack

AWS | Agentic AI | Cloud platform | Data Science | Decision Trees | Deep learning | Explainable AI | Google Cloud | Google Cloud Platform | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Model Deployment | Model Monitoring | Natural Language | Natural Language Processing | Optimization | RAG | Random Forests | Responsible AI | Statistical modeling | Transformers