Sr Principal Applied Scientist, Cost of Cloud Optimization ML/AI

Oracle

21d

About The Position

Lead AI development from Context Aware Agents, Action Agents to Reasoning Agents, with Multi Agent Orchestration. This will involve strategy and planning through several critical milestones across team of Applied Scientists, Data Engineers and Business Stakeholders. This is a hands on role, requiring coding, testing, delivery and ongoing maintenance and training for solutions in production, as well as fostering business partnership and accountability every step of the way. Lead ML Model Development: Lead the design, development and productionalization of advanced machine learning models for time series and anomaly detection. Responsible for optimizing models to enhance precision, ensuring high performance, accuracy and reliability. Use machine learning, data mining, statistical techniques, and others to create actionable, meaningful, and scalable solutions that drive Cloud Capacity Management and Cost Optimization. Provide proactive leadership, demonstrating self-sufficiency, influencing and team building skills while creating and socializing innovative machine learning and AI solutions. Mentor and collaborate with other Applied Scientists and Engineers for continuous improvement with best practices and tools for machine learning, model development, and AI agentic frameworks. Collaborate closely with data engineers to integrate models into production and ensure continuous monitoring and improvement of productionalized models, MLOps and AIOps processes. Validate that data in SDS is relevant, trustworthy and actionable and ensure SDS provides required data and level of granularity for advanced Machine Learning and AI solutions. Work closely with business teams to understand business requirements and proactively provide new data science driven insights and AI solutions. Address business/customer problems and questions using statistical and data science techniques to achieve business goals and KPI's. Provide actionable insights from models to senior leadership and stakeholders. In addition to developing AI solutions, be comfortable with our data and be an expert in in-depth analyses and insights through dashboards & visualizations. Experience with Analytic tools such as Oracle Analytics Cloud (OAC) or Tableau. Ensure thorough documentation of models and AI development from Business Problem through to design, implementation, and Business impacts of results. Manage AI Projects within SDS Scrum focusing on timely delivery and continuous improvement of AI solutions.

Nice To Haves

Experience with Analytic tools such as Oracle Analytics Cloud (OAC) or Tableau.

Responsibilities

Lead AI development from Context Aware Agents, Action Agents to Reasoning Agents, with Multi Agent Orchestration.
Lead the design, development and productionalization of advanced machine learning models for time series and anomaly detection.
Use machine learning, data mining, statistical techniques, and others to create actionable, meaningful, and scalable solutions that drive Cloud Capacity Management and Cost Optimization.
Provide proactive leadership, demonstrating self-sufficiency, influencing and team building skills while creating and socializing innovative machine learning and AI solutions.
Mentor and collaborate with other Applied Scientists and Engineers for continuous improvement with best practices and tools for machine learning, model development, and AI agentic frameworks.
Collaborate closely with data engineers to integrate models into production and ensure continuous monitoring and improvement of productionalized models, MLOps and AIOps processes.
Work closely with business teams to understand business requirements and proactively provide new data science driven insights and AI solutions.
Address business/customer problems and questions using statistical and data science techniques to achieve business goals and KPI's.
Provide actionable insights from models to senior leadership and stakeholders.
Ensure thorough documentation of models and AI development from Business Problem through to design, implementation, and Business impacts of results.
Manage AI Projects within SDS Scrum focusing on timely delivery and continuous improvement of AI solutions.