Data Scientist 4
Data Scientist 4
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Job 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.
In the OCI AI Science org we are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge cloud infrastructure. As a Data Scientist IV you will lead the development of large-scale datasets and leverage machine learning and generative AI to advance Generative AI models. You will drive the design of benchmarking frameworks define best practices for data quality and fairness and partner with scientists engineers and product leaders to shape the orgs data strategy.
Responsibilities
Key Responsibilities:
- Lead the design development and scaling of large high-quality datasets to advance generative AI models in multimodal domains (e.g. text vision speech).
- Define data standards and best practices for acquisition cleaning augmentation annotation and evaluation to ensure fairness diversity and representativeness.
- Guide the integration of cutting-edge techniques (e.g. fine-tuning RLHF domain adaptation) into data generation and model alignment pipelines.
- Provide technical leadership in building scalable reliable data pipelines and synthetic data platforms for production environments.
- Evaluate and operationalize research innovations shaping how data preparation and generative AI methods transition into production-ready solutions.
- Partner with research engineering and product leaders to define long-term data strategy and accelerate the adoption of generative AI solutions at scale.
- Mentor and provide thought leadership to scientists and engineers fostering a culture of data excellence and innovation
Qualifications and Skills:
- Bachelors or Masters in Computer Science Data Science AI/ML or related field with 6 years of industry experience.
- Proficiency in Python and solid foundation in applied ML methods.
- Proficiency with Pytorch Torchvision OpenCV and similar as well as building and deploying DNN models in production.
- Experience building large-scale data pipelines for acquisition cleaning augmentation and validation.
- Ability to evaluate datasets for distribution diversity anomalies and fairness to assess overall quality and suitability for generative AI.
- Experience with Computer Vision NLP Transformers Large Language Models Generative AI optimizations around LLM training and serving. Experience with Multimodal models a bonus.
- Familiarity with advanced techniques (e.g. RLHF domain adaptation data augmentation) and their application in generative AI workflows.
- Proven track record of delivering scalable data-centric ML solutions.
- Excellent communication and leadership skills with experience mentoring junior scientists/engineers and presenting technical strategies to senior stakeholders.
Qualifications
Career Level - IC4
Employment Type
Full-Time
