Machine Learning Architect
2 weeks ago
Key Responsibilities:
We are looking for a seasoned Machine Learning Architect/Senior Engineer to join our AI Services team at Oracle Cloud Infrastructure. The ideal candidate will collaborate with multi-functional teams to design, implement, and optimize ML Services and Platform.
Technical Requirements:
- Build and maintain scalable ML infrastructure and platforms for managing and deploying models in production environment
- 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
- Proven ability to deliver products and 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 algorithm 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 critically important tier-one live site servicing
- Experience designing architectures that demonstrate deep technical depth in one area, or span many products, to enable high availability, scalability, market-leading features and flexibility to meet future business demands
- Stay up to date with latest advancements in machine learning , security technology and industry trends to drive innovation and maintain competitive advantage
Preferred Qualifications:
- BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience
- 10+ years of total experience in software development
- Hands-on experience Design, developing and maintaining services on a public cloud platform (., AWS, Azure, Oracle)
- Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform
- Strong proficiency in programming languages such as Python, Java and ML frameworks/libraries such as Tensor flow , Pytorch or sci kit-learn
- Strong knowledge of Container and its Orchestration technology like Kubernetes, docker
- Solid understanding of software engineering principles, including version control , testing and deployment automation
- Communicate effectively to multiple collaborators on value and insights from data
- Mentor other ML engineers/developer, and help them to develop their projects related to experimentation and evaluation.
- Craft a measurement strategy to evaluate the performance of complex systems against challenging requirements
- Develop robust methods for model monitoring in production and learning from feedback Ability to work with incomplete requirements and handle multiple projects with deadlines
About Oracle:
Oracle is a world leader in cloud solutions, using tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and values.
We Are an Equal Opportunity Employer:
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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