This is a growth-oriented role designed to give you practical experience in AI/ML development, hands-on exposure to production systems, and an opportunity to contribute to solutions that matter — all while learning from a supportive and collaborative team
- Build and Contribute to AI-Powered Applications
- Help design and develop features in AI-driven applications, primarily using Python or similar languages
- Collaborate with cross-functional teams to deliver scalable and reliable solutions
- Work with Data
- Support data preparation efforts, including feature selection, basic ETL processes, and data quality checks
- Assist in analyzing datasets for training and evaluating machine learning models
- Learn and Grow in MLOps & LLMs
- Get hands-on experience with tools and practices in MLOps: model deployment, monitoring, and versioning
- Explore foundational concepts in large language models (LLMs), including prompting techniques and task automation
- Learn to implement basic agentic workflows using tools like LangGraph or similar frameworks
- Run model experiments under guidance, using metrics to measure performance and reliability
- Begin learning how to debug and improve AI systems through iterative testing
- Understand Responsible AI
- Develop awareness of AI ethics, privacy, fairness, and secure coding practices in real-world AI development
- Contribute to Oracle Fusion and Conversational UX
- Support the integration of AI features into Oracle business applications
- Participate in designing intuitive, user-centric conversational interfaces
- Grow your skills — we’ll support your development in AI/ML, MLOps, cloud technologies, and more
Work on diverse projects — from conversational interfaces to enterprise-scale integrations