Applied Scientist 2
BENGALURU, KARNATAKA, India
Oracle
Oracle offers a comprehensive and fully integrated stack of cloud applications and cloud platform services.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 and other generative models 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 - IC2
Key Responsibilities:
• Design and build the world-class Generative AI Models in text, vision and multimodal setting for generating synthetic data.
• Research and Implement cutting edge techniques(Fine tuning, RLHF) in aligning Generative models to specific problem domains.
• Build the necessary tooling for data acquisition, data cleaning, data augmentation, model training and visualization.
• Evaluate and Implement the ML/Deep learning/GenAI models from research papers and other public internet resources.
• Optimize models for production usage and help productizing the generation scenarios to a production stetting.
• Develop production code for feature processing, model prediction, serving, and monitoring in both real-time and batch scenarios.
• Participate in the entire software lifecycle – development, testing, CI and production operations
• Balance between product feature development and production operational concerns like writing run books, ops automation, structured logging, instrumentation for metrics and events
Qualifications Minimum Qualifications
• Ph.D. degree or Master’s degree or equivalent experience in computer science, artificial intelligence, machine learning, operations research, or related technical field.
• 5+ years w/Masters or 3+ years w/PhD of applying machine learning for solving real-world problems in industry
• Proficiency in Python or R
• Proficiency with at least one deep learning library (Pytorch, Tensorflow or Keras) with building and deploying DNN models in production.
• Expertise in NLP, Transformers, Large Language Models, hugging face library. Optimizations around LLM training and serving.
• Experience applying statistical models and developing Machine Learning solutions (regression, classification, clustering)
• Extensive experience with developing and serving large scale Deep learning models across different data domains.
• Experience in optimization and scaling of ML solutions for real world business use cases.
• Expertise in statistical concepts and experience with traditional ML libraries such as scikit-learn, statsmodels and pandas
• Past delivery of large-scale ML solutions for complex business problems
• Experience with production operations and good practices for putting quality code in production and troubleshoot issues when they arise
• Take initiative and be responsible for delivering complex software by working effectively with the team and other stakeholders
• Can easily communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations)
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.
When 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 perspectives.
We’ve partnered with industry-leaders in almost every sector—and 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 programs.
We’re 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 +1 888 404 2494, 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.
* Which includes being a United States Affirmative Action Employer
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Classification Clustering Computer Science Data quality Deep Learning Generative AI Generative modeling Keras LLMs Machine Learning Model training NLP Oracle Pandas PhD Python PyTorch R Research RLHF Scikit-learn Statistics statsmodels TensorFlow Testing Transformers
Perks/benefits: Career development Flex hours Insurance Team events
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