Summary: Join Oracle Applications Labs as a Senior AI Developer to design, build, and deploy cutting-edge AI solutions, gaining practical experience and contributing to impactful real-world applications. Highlights: 1. Build and contribute to AI-powered applications using Python 2. Gain hands-on MLOps and LLM experience, including agentic workflows 3. Learn from experts and grow your skills in AI/ML and cloud technologies **Senior** **AI Developer** **Location:** Mexico (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 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\&\#43; 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.