Machine Learning Architect Lead
3 days ago
At Oracle Cloud Infrastructure (OCI), we're revolutionizing the cloud for Enterprises as a diverse team of innovators and creatives.
We act with the speed and attitude of a start-up, backed by the scale and customer focus of a leading enterprise software company in the world. Our values are our foundation, driving excellence in everything we do. We strive for equity, inclusion, and respect for all, and commit to the greater good through our products and actions. We continuously learn and grow, taking opportunities to develop our careers and selves. We challenge each other to push beyond our limits and build a brighter future. You'll be part of a dynamic and flexible workplace where you belong and thrive.
As part of our AI Services team, one of our key goals is to enhance user experience and solve complex problems through seamless employee services, leveraging AI/ML capabilities like NLP, Vision, and Machine Translation.
We're seeking an experienced ML Architect/Senior Engineer with a strong background in software design, development, and expertise in architecting applications or platforms around ML ops, dev ops, and ML Platform. The ideal candidate will collaborate with multi-functional teams to design, implement, and optimize ML Services and Platform. A successful candidate will be someone who enjoys delving deep into ML infrastructure, analyzing root causes, and designing long-term solutions. You'll join our AL infra and platform Engineering Service team, responsible for building AI Platform, AI Ops capabilities to improve operational efficiency and effectiveness of enterprise engineering cloud services, enhancing customer experience and service resiliency.
Main Responsibilities:
- Bulletproof scalable ML infrastructure and platforms for managing and deploying models in production environments
- Design, implement, and optimize AI services / ML Engineering Platform/Infra for data processing, feature engineering, model training, and inference
- Implement standard methodologies for ML Ops, Dev Ops including model versioning, monitoring, logging, and automated testing
- Deliver high-quality products and possess extensive experience with the full software development lifecycle
- Experience working on large-scale, highly distributed services infrastructure
- Translate business needs into advanced machine learning AI services and provide strong algorithmic and coding execution and delivery of Machine Learning & Artificial Intelligence
- Develop analysis and optimization methods to improve the AI platform capabilities
- Experience working in an operational environment with critical tier-one live site servicing
- Design architectures demonstrating deep technical depth in one area, or spanning multiple products, to enable high availability, scalability, market-leading features, and flexibility to meet future business demands
- Stay up-to-date with the latest advancements in machine learning, security technology, and industry trends to drive innovation and maintain a competitive advantage
Required Qualifications:
- BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience
- 12+ years of total experience in software development
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