AI Model Engineer

2 weeks ago

Bengaluru, Karnataka, India Oracle Full time

Unlock your potential as an AI Model Engineer at Oracle Cloud Infrastructure (OCI), where innovation meets scalability.

We're a diverse team of creators and inventors building the future of cloud infrastructure for enterprises. Our start-up mentality and enterprise-scale customer focus drive us to deliver excellence through equity, inclusion, and respect.

You'll be part of a dynamic team given autonomy and support to excel in your role. As a builder, you'll contribute to exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure.

In the AI Data org, we're pushing boundaries by developing cloud services using Large Language Models (LLMs) and other generative models for text, speech, vision, and multi-modal use cases. We're creating ML benchmarking standards and frameworks to ensure high-quality models and data across various verticals, including Healthcare and Fusion.

Career Level: IC2/IC3

Key Responsibilities:

  • Design and build world-class Generative AI Models for synthetic data generation in text, vision, and multimodal settings.
  • Research and implement cutting-edge techniques like Fine Tuning and Reinforcement Learning with Human Feedback (RLHF) to align Generative models with specific problem domains.
  • Develop necessary tooling for data acquisition, cleaning, augmentation, model training, and visualization.
  • Evaluate and implement ML/Deep learning/GenAI models from research papers and public internet resources.
  • Optimize models for production usage and help productize generation scenarios for production settings.
  • Develop production code for feature processing, model prediction, serving, and monitoring in 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:

  • A degree or Master's degree or equivalent experience in Computer Science, Artificial Intelligence, Machine Learning, Operations Research, or related technical fields.
  • 5+ years with a Master's or 3+ years with a PhD in 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, and 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 troubleshooting issues when they arise.
  • Taking initiative and being responsible for delivering complex software by working effectively with the team and other stakeholders.
  • Communicating technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams, and presentations).

Salary Range:$150,000 - $250,000 per year, depending on experience and location.

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