Principal Consultant - Java Microservices with Core Banking

Oracle Cloud Infrastructure's Generative AI Service team builds advanced AI solutions for global, real-world challenges. This Principal Applied Data Scientist role focuses on leading the design and delivery of next-generation Generative AI and Machine Learning solutions for strategic customers, leveraging cutting-edge technology and Oracle's enterprise-scale cloud.

Key Responsibilities

• Design, build, and deploy cutting-edge machine learning and generative AI systems, focusing on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search.
• Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises.
• Develop models and services for decision support, anomaly detection, forecasting, recommendations, NLP/NLU, speech recognition, time series, and computer vision.
• Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes.
• Ensure ethical and responsible AI practices in all solutions.
• Lead and mentor teams from concept to delivery, driving product quality and innovation.
• Design and implement high-quality code for experiments and production ML models.
• Partner closely with customers to understand their vision, define requirements, and deliver AI solutions that remove blockers and unlock value.
• Dive deep into model architectures to maximize performance, scalability, and reliability.
• Configure and optimize large-scale OpenSearch clusters, including ingestion pipelines for high-volume data.
• Diagnose and resolve challenges in AI model training, deployment, and serving.
• Create reusable solution patterns and reference architectures that accelerate adoption across multiple customers.
• Act as a product evangelist showcasing innovations at customer meetings, industry events, and conferences.
• Conduct independent R&D to advance state-of-the-art ML with a focus on fairness and explainability.

Qualifications

• Bachelor's or Master's degree in Computer Science or related technical field, with 10+ years of experience in AI, ML, or data-driven solution development.
• Proven track record designing, building, and deploying scalable AI/ML solutions in production environments.
• Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization).
• Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization.
• Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving.
• Hands-on experience with NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LlamaIndex).
• Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers).
• Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc.
• Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations.
• Collaborative mindset with experience working closely with product managers, engineers, and customers.
• Ability to mentor and guide junior data scientists or ML engineers.
• Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events.
• Role: Data Science & Applied ML/AI.