Principal Applied Scientist (OCI) - Product Development â Gen AI and AI Solutions Engineering
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Oracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Service team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world global challenges.
In this role you will:
- Design build and deploy cutting-edge machine learning and generative AI systems with a focus 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.
Were looking for a Principal Applied Data Scientist with deep expertise in applied ML/AI hands-on experience building production-grade solutions and the creativity to innovate at the intersection of AI and enterprise cloud.
Responsibilities
As a Principal Applied Data Scientist in Oracles OCI Gen AI & AI Solutions Engineering team youll shape the future of enterprise AI for our most strategic customers. Youll lead the design and delivery of next-generation generative AI and machine learning solutionsleveraging cutting-edge technology and Oracles enterprise-scale cloud to solve complex high-impact problems in industries like finance telecom healthcare and software development. 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. Collaborate with product and engineering teams to deliver customer-focused market-differentiating AI solutions. Conduct independent R&D to advance state-of-the-art ML with a focus on fairness and explainability.
You will:
- 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.
- Build state-of-the-art solutions using emerging Gen AI and ML technologies.
- 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 evangelistshowcasing our innovations at customer meetings industry events and conferences.
- Collaborate with world-class scientists engineers and product managers in a fast-moving high-impact environment.
Qualifications
- Bachelors or Masters 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.
Qualifications
Career Level - IC4
Required Experience:
Staff IC
Key Skills
- Machine Learning
- Python
- Data Science
- AI
- R
- Research Experience
- Sensors
- Drug Discovery
- Research & Development
- Natural Language Processing
- Data Analysis Skills
- Toxicology Experience
About Company
Oracle provides the world's most complete, open, and integrated business software and hardware systems, with more than 370,000 customers—including 100 of the Fortune 100—representing a variety of sizes and industries in more than 145 countries around the globe. And Oracle's 110,000 gl ... View more
