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Design and develop features in AI-driven applications while collaborating with cross-functional teams. Support data preparation efforts and assist in analyzing datasets for training and evaluating machine learning models.
A degree in a related field or equivalent experience is required, along with familiarity with programming languages, preferably Python. Candidates should have an interest in AI/ML and be motivated to learn and contribute to projects.
Senior AI Developer Location: United States (REMOTE) About the Role: Are you early in your career and passionate about artificial intelligence, machine learning, and building impactful real-world applications? Join the Oracle Applications Labs (OAL) team as a Senior AI/ML Developer, where you’ll work alongside experienced engineers to design, build, and deploy cutting-edge AI solutions across Oracle’s enterprise applications. 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. 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. Who You Are: 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. Basic 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. Preferred Qualifications: 2+ years’ experience with ML tools or libraries (e.g., 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. Why Join Us? Start your AI career with real impact — your code and ideas will contribute to solutions used by businesses worldwide. Learn from experts — work closely with experienced engineers, data scientists, and product teams. 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. Be yourself — we value diversity, inclusion, and creating a safe space for all team members to grow and thrive. Your Growth Path Could Include: Advancing your Python and data engineering skills. Moving into LLM engineering, platform/MLOps, or applied AI science. Gaining certifications or deeper knowledge in cloud, AI ethics, or enterprise systems. Taking on increased responsibility as a mid-level or senior AI engineer.
This job posting was last updated on 10/10/2025