AI Engineering Lead
Description For AI Engineering Lead
Oracle Corporation's 'SaaS Engineering' team is launching an innovative initiative focused on service reliability through autonomous AI agents. This role leads the development of advanced ML/AI systems for analyzing system logs, predicting failures, and autonomous issue resolution in cloud services. The position combines cutting-edge work in anomaly detection and AI agents to enhance service resiliency.
As an AI Engineering Lead, you'll be at the forefront of developing robust systems using advanced ML/AI tools, working with a newly formed team crucial to driving innovation in Oracle's cloud services. The role encompasses leadership in machine learning, generative AI and LLMs, data engineering, MLOps, and AI software engineering.
The ideal candidate brings 10+ years of experience, with deep expertise in ML engineering, large-scale language models, and data pipeline management. You'll work in a collaborative environment, leading technical initiatives while mentoring team members and communicating with diverse stakeholders. This position offers competitive compensation, comprehensive benefits, and the opportunity to shape the future of cloud service reliability at one of the world's leading technology companies.
The role combines technical leadership with hands-on development, requiring expertise in Python, deep learning frameworks, cloud services, and microservices architecture. You'll be instrumental in building high-performance, production-grade AI systems while staying current with emerging technologies.
Responsibilities For AI Engineering Lead
- Develop and deploy ML models
- Implement best practices in training, evaluation, and inference
- Build and fine-tune large-scale language models
- Manage data pipelines and ensure high-quality data preparation
- Implement MLOps practices and CI/CD pipelines
- Develop AI-driven applications
- Mentor junior team members
- Manage multiple projects in a fast-paced environment
Requirements For AI Engineering Lead
- 7-10 years of machine learning engineering experience
- Advanced proficiency in building and fine-tuning large-scale language models
- Strong background in data pipeline management and ETL/ELT processes
- Experience implementing MLOps practices
- Mastery of Python and deep learning frameworks
- Proficiency with cloud services
- Experience designing and maintaining scalable data architectures
- Master's degree in Computer Science, Machine Learning, Data Science, or related field
- AI certifications preferred
Benefits For AI Engineering Lead
- Medical, dental, and vision insurance
- Short term and long term disability
- Life insurance and AD&D
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits
- 401(k) Savings with company match
- Flexible Vacation
- 11 paid holidays
- 72 hours paid sick leave
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal
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