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

Job Description:

• 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.

Requirements:

• Extensive Experience: 6-10+ years of experience in developing and deploying machine learning, AI and Agents, in a large industry cloud environment.
• Educational Requirements: Advanced degree (Ph.D. or Masters) in Computer Science, AI, Machine Learning, Data Science, or a related field. Ph.D with minimum of 6 years experience or Masters with minimum of 10 years experience required.
• Technical Requirements: Strong expertise in SQL, Python, Application Development, Reporting tools and deep learning frameworks such as PyTorch and TensorFlow.
  • Extensive experience with time-series data, forecasting, clustering, anomaly detection, feature engineering, and model optimization techniques.
  • AI Agents: Knowledge and hands-on experience with AI and AI agent frameworks, particularly OCI Generative AI Agents is a plus. Proven ability to develop and deploy autonomous AI Agents in real-world large industry cloud environment.
  • Preferred experience with Oracle suite of Cloud products and services including Oracle Autonomous Database (ADB-S 26ai), Oracle Analytics Cloud (OAC), Oracle Data Science Service, OCI Generative AI Agents, Oracle Apex.
• Cloud Environments: Required experience with cloud services (e.g. AWS, Azure, Oracle Cloud Infrastructure) with a proven track record of deploying AI and machine learning models in a cloud environment.
  • Preferred experience working with OCI Oracle Cloud Infrastructure, with an understanding of SaaS services, observability and DevOps.
  • Experience with Cloud SaaS Service Capacity Planning, Management and Cost Optimization is a plus.
• Problem-Solving Skills: Excellent problem-solving skills, with the ability to identify and address potential issues proactively. Experience in troubleshooting and optimizing machine learning models, AI Agent model selection, accuracy, data quality issues.
• Business and Leadership Skills: Proven leadership skills with a track record of leading, collaboration, strong communication and influencing skills both within team and across organizations, including presenting complex technical concepts to non-technical stakeholders or executives. Expert business skills to engage and understand business problems and priorities, then explain how AI or Data Science solutions provide impactful business insights.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple tasks and projects simultaneously. Eagerness to continuously learn and adapt to new technologies and methodologies.

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