159 applicants

Company

Oracle · 1 day ago

Data Scientist

USA

Full-time

Remote

Mid Level

4+ years exp

Maximize your interview chances

Data GovernanceData Management

H1B Sponsor Likely

Insider Connection @Oracle

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Design and develop solutions for medical language learning through language models

Interpreting health documents like health plans, prior authorization guidelines, patient charts and deriving meaningful insights through summarization, rule generation, etc

Transforming rules and workflows into knowledge graphs and automate downstream processing

Work with Engineering team for training data acquisition and data analysis

Follow the process for ML use case evaluation and planning

Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval

Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts

Fine-tune and optimize large language models such as Cohere for specific use cases in the healthcare

Implement and experiment with cutting-edge NLP, NLU, and NLG techniques to solve various use cases

Collaborate with engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data ScienceAI/MLPythonNLPTensorFlowPyTorchRAWSOCIDockerKubernetesNLUNLGRAG modelsVector databasesLarge language models

Required

Master's degree or PhD in Computer Science, Engineering, Mathematics, or related experience

4+ years of experience in data science

Focus on building and deploying language AI

Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or R.

Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes).

Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation.

Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems.

Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholders

You are comfortable with ambiguity. You have a strong sense of ownership, can define your own workplan, set goals for others, and can drive projects to completion

You are excited to learn new technologies and stay on the cutting edge of what’s possible

You have taken a product or platform from 0 to 1, you know what it takes to launch something

Preferred

Preference for expertise in developing RAG models, working with vector databases, and fine-tuning large language models.

Company

Oracle

Glassdoor

3.8

Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.

Founded in 1977

Austin, Texas, USA

10,001+ employees

https://www.oracle.com/

H1B Sponsorship

Oracle has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (794)

2022 (1124)

2021 (1049)

2020 (764)