Job Description
Oracle
Data Scientist
Full -Time
Bengaluru, Karnataka, India
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.
Any Degree
2+ Years
Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience. 2+ years of experience in data science Focus on building and deploying language AI Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or R. Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes). Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation. Preference for expertise in developing RAG models, working with vector databases, and fine-tuning large language models. Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems. Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders
Work with Engineering team for training data acquisition and data analysis Follow the process for ML use case evaluation and planning Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts Fine-tune and optimize large language models such as Cohere for specific use cases in the healthcare. Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to solve various use cases. Collaborate with engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance
