Principal Member of Technical Staff - Hyderabad, India - Oracle

Description

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 OCI's 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 smart, motivated, and diverse people and given the autonomy and support to do your best work.

It is a dynamic and flexible workplace where you'll belong and be encouraged.
In

AI Data

org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure.

We are building cloud services using LLM's for generating synthetic data for text, speech, vision and multi-modal use cases, creating ML benchmarking standards and framework to ensure highest model and data quality across various verticals including Healthcare, Fusion etc.

Career Level - IC4Responsibilities

Key Responsibilities:
Design and develop AI software in Java, Python, and other languages.
Apply engineering principles for defining robust and maintainable architectures and designs.

Build cloud service on top of the modern Infrastructure as Service (IaaS) building blocks at OCIDesign and build distributed, scalable, fault tolerant software systemsParticipate in the entire software lifecycle – development, testing, CI/CD and production operationsCollaborate broadly across multiple disciplines from hardware designers to ML developers.

Identify requirements, scope solutions, estimate work, schedule deliverables. Help establish and drive the adoption of outstanding coding standards and patterns and help enhance our inclusive engineering culture.

Contribute to publications, blogs and open source ML performance submissions partenering with product managersBalance between product feature development and production operational concerns like ops automation, structured logging, instrumentation for metrics and participating in on-call.

Qualifications

Minimum QualificationsBS or MS degree in computer science, or equivalent10+ years of developing and shipping enterprise distributed and/or cloud native systemsStrong grasp of system design fundamentals and distributed systems architectural best practicesDemonstrated ability to write great code in Java, Python, or similar OO languagesExperienced at building highly available services, possessing knowledge of common service-oriented design patterns and service-to-service communication protocolsExperience with containers and container orchestration technologies (Kubernetes, Docker)

Strong desire to make an impact and thrive in collaborative and energetic environmentsAbility to effectively communicate technical concepts verbally and through design aspectsPreferred Skills and Experience:
Data science and machine learning knowledge would be helpful, but not requiredProduction experience with Cloud and ML technologiesExperience working in the below areas and algorithms will be ideal but not mandatory: Generative AI Modeling: Customizing LLM's, build and deploy LLM's at scale for large scale data generation Algorithms: Transformer models, Attention mechanism, Prompt tooling