AI Engineering Lead
Description For AI Engineering Lead
Oracle Corporation's 'SaaS Engineering' team is establishing a new initiative focused on advancing service reliability through autonomous AI agents. This role leads the development of cutting-edge ML/AI systems for analyzing system logs, predicting failures, and autonomously resolving issues in cloud services. The position combines expertise in machine learning, generative AI, and MLOps to enhance service resiliency.
As an AI Engineering Lead, you'll be responsible for driving innovation in machine learning model development, fine-tuning large-scale language models, and implementing robust data pipelines. The role requires deep expertise in Python, deep learning frameworks, and cloud services, with a focus on building production-grade AI systems that improve Oracle's cloud service reliability.
The position offers competitive compensation including potential bonuses and equity, comprehensive benefits, and the opportunity to work with cutting-edge AI technologies. You'll be part of a newly formed team crucial to Oracle's cloud services reliability, making significant impacts on service uptime and customer satisfaction.
Key focus areas include:
- Leading machine learning engineering initiatives and model development
- Building and optimizing large-scale language models
- Implementing MLOps practices and production deployment
- Managing data pipelines and quality
- Developing AI-driven applications and integrations
- Mentoring team members and driving technical excellence
This role combines technical leadership with hands-on development, requiring both deep technical expertise and the ability to guide teams in building innovative AI solutions. The position offers the chance to work on challenging problems at scale while contributing to Oracle's cloud service reliability initiatives.
Responsibilities For AI Engineering Lead
- Lead machine learning engineering initiatives and model development
- Build and fine-tune large-scale language models
- Manage data pipeline and ETL/ELT processes
- Implement MLOps practices and CI/CD pipelines
- Develop AI-driven applications and model-serving architectures
- 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
- Experience in MLOps practices
- Mastery of Python and deep learning frameworks
- Proficiency with cloud services
- Master's degree in Computer Science, Machine Learning, Data Science, or related field
- Experience with time-series analysis and model optimization
- Proven ability to mentor junior team members
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
- 401(k) with company match
- Flexible Vacation
- 11 paid holidays
- Paid sick leave
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
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