Principal Consultant - Java Microservices with Core Banking

10 - 15 years

3 - 12 Lacs

Posted:9 hours ago| Platform: Foundit logo

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On-site

Job Type

Full Time

Job Description

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.

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Oracle

Information Technology

Redwood City

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