Sr Principal Software Developer

Position : Consulting Member of Technical Staff

Location : Bengaluru Karnataka India

AtOracle 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 teams 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. Finallywe 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

Employer Description

As a world leader in cloud solutions Oracle uses tomorrows technology to tackle todays problems. True innovation starts with diverse perspectives and various abilities and everyones voice is heard were inspired to go beyond whats been done before. Its why were committed to expanding our inclusive workforce that promotes diverse insights and partnered with industry-leaders in almost every sectorand continue to thrive after 40 years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point let us know by calling 1 option one.

Disclaimer:

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.

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 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

Career Level - IC5

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 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