Consulting Member of Technical Staff

Location : Bengaluru Karnataka , India

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer focus of the leading enterprise software company in the world. Values are OCIs foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future. You are the builder here. You will be part of a team of really thoughtful, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where youll belong and be encouraged.

Within OCI, AI Services team's one of the goals is to improve user experience and solve challenging problems through seamless employee services by enabling AI/ML services like NLP , Vision, Machine Translation etc.

We are seeking a seasoned ML Architect/Senior Engineer with strong background in software design , development and experience in architect application or platform 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 a person who enjoys diving deep into ML infrastructure, doing analysis, discovering root causes, and designing long-term solutions. You will be joining our AL infra and platform Engineering Service team who is responsible for building AI Platform, AI Ops capabilities to improve operational efficiency and effectiveness of enterprise engineering cloud services - thereby improve customer experience and service resiliency. So you will have an opportunity to design, implement systems end to end by helping select the right technologies, and envisioning a long-term architecture is part of the role. Finally, we always look for enthusiastic, passionate individuals with a willingness to learn new technologies.

Responsibilities:

• 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 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 Qualification

• 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 (e.g., 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
• Make Recommendations and influence the AI service roadmap for our platforms & services to constantly improve Customer experience.
• 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