Applied Scientist 2/3

2 weeks ago

Bengaluru, Karnataka, India Oracle Full time

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 - IC2Key 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 eventsQualifications
Minimum Qualifications

  • . 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)

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