Description
Qualifications
- Ph.D., Master’s degree, or equivalent practical experience in Computer Science, Artificial Intelligence, Machine Learning, Operations Research, Statistics, or a related technical field.
- 5+ years of relevant experience with a Master’s degree, or 3+ years with a Ph.D., applying machine learning to real-world problems.
- Strong Python programming skills and experience building production-quality ML, GenAI, or data systems.
- Hands-on experience with PyTorch and modern deep-learning stacks; experience with Hugging Face, LLMs, VLMs, diffusion models, or multimodal models is strongly preferred.
- Experience with data-centric AI or GenAI methods, such as synthetic-data generation, data-quality measurement, dataset curation, weak supervision, model-based labeling, active learning, deduplication, or data augmentation.
- Experience designing experiments and interpreting results through statistical analysis, ablation studies, benchmark evaluation, and error analysis.
- Strong understanding of model training, inference, evaluation, and production monitoring.




- Ability to evaluate research papers, identify practical value, and implement practical techniques in real-world systems.
- Experience building scalable data or ML pipelines using distributed compute, cloud storage, batch processing, or workflow orchestration.
- Strong written and verbal communication skills, including experience preparing technical proposals, design documents, experiment reports, and stakeholder presentations.

Description
- Design and build data-centric Generative AI methods for synthetic data generation, multimodal data curation, augmentation, filtering, deduplication, and data-quality assessment.
- Develop and evaluate synthetic-data pipelines for text, speech, vision, and multimodal GenAI use cases, including controllable generation, provenance tracking, safety checks, and domain adaptation.
- Build evaluation frameworks that connect data quality with downstream model perfo

📌 Senior Machine Learning Engineer (Bengaluru)
🏢 Oracle
📍 Bengaluru