Data Scientist 4 job opportunity at Oracle.

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Oracle Data Scientist 4
Experience: 6-years
Pattern: full-time
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degreeBachelor's (B.Sc.)
loacation Bengaluru, Karnataka, India
loacation Bengaluru, Kar..........India

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 org’s 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

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