Principal Machine Learning Scientist
Core
Define and drive the scientific vision for AI and machine learning initiatives, leading cross-organizational initiatives involving AI platforms, model development, and AI-native experiences leveraging LLMs and AI agents.
Role type
Principal Machine Learning Scientist (Strategy & Technical Leadership)
Builds
AI platforms, production AI systems, AI-native experiences (LLMs, agents, copilots), and evaluation systems.
Domain
Enterprise AI, Generative AI, MLOps, Large Language Models
Deliverable
production ML models | product features | infrastructure
Required skills
Machine learning, deep learning, statistical modeling, experimentation, Large Language Models, Generative AI, MLOps, LLMOps, model governance, AI observability, Python, PyTorch, TensorFlow, Hugging Face, Semantic Kernel, AutoGen, LangGraph, Azure AI, Azure OpenAI, Azure Machine Learning, agentic AI systems design, enterprise copilots, autonomous workflows, AI evaluation platforms, benchmarking systems, model quality measurement.
Preferred skills
Patents, publications, open-source leadership, notable technical innovation, leading AI transformation initiatives, AI-native operating models, human-AI collaboration patterns.
Responsibilities
Define and drive scientific vision for AI/ML initiatives; influence technical strategy and roadmap decisions; serve as trusted advisor to engineering, product, and executive leadership; lead cross-organizational initiatives; mentor scientists and engineers; establish best practices; implement CI/CD pipelines for ML models; design and deploy monitoring and alerting systems; implement model governance and version control; design and develop AI-native experiences; establish evaluation-driven development methodologies; provide technical guidance on MLOps; ensure ML lifecycle adherence to privacy and compliance.
Seniority
Principal, strategy & mentorship
