Job Description
We’re looking for an experienced AI Developer to join our team and help shape the future of AI at Oracle. Design, develop, and deploy scalable machine learning solutions. The ideal candidate will have a strong foundation in data science, applied machine learning and real exposure in building agentic workflows with a diverse set of tools such as RAG, NL-to-SQL and complex micro-services. He would own the full lifecycle from data preparation and embeddings to orchestration, evaluation, and scalable deployment—while meeting enterprise security, privacy, and compliance standards.
What You’ll Do:
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. Experiment and Evaluate
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. Preferred Qualifications:
A degree (or equivalent experience) in Computer Science, Engineering, Mathematics, Physics, Statistics, or a related field. Familiar with at least one programming language — Python preferred. Experience with ML tools or libraries (., Scikit-learn, TensorFlow, PyTorch). Participation in AI/ML hackathons, open-source contributions, or passion projects. Exposure to cloud platforms like Oracle Cloud, AWS, GCP, or Azure. Understanding of tech ethics, data privacy, or basic security principles. Understanding of software engineering principles, data structures, and algorithms. Interest or introductory experience in AI/ML through coursework, self-study, personal projects, or internships. Curious, motivated to learn, and eager to contribute to meaningful projects. Comfortable working in a team environment, with strong communication and organization skills Career Level - IC3
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