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Applied Scientist

Oracle -
India

Apply Now

Job details

Full-time
6 days ago

Qualifications

TensorFlow
Image processing
Oracle
Law
Doctoral degree
Computer Science
Computer vision
Software deployment
System design
Master's degree
Deep learning
Natural language processing
Software development
AI
Communication skills
Python

Full job description

The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their business problems with Oracle's assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative ai and agent features that delights our customers with the confidence that their data are safe and protected.

Your Opportunity

We are seeking a Principal Applied Scientist (IC4) to spearhead Generative AI and Agent use cases that support GBU business applications as well as GBU consulting. As an applied scientist, you will be responsible for driving the development and implementation of cutting-edge technologies. We are building a core talented team specialized in Generative AI. We are looking for candidates who are passionate about building state-of-the-art technologies to solve real-world problems and have a solid technical background in deep learning, especially natural language processing (NLP) and multimodal models, to join this team.

You will collaborate with a team of world-class scientists, engineers and product managers. We’re looking for a person who will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both development and consulting teams. You’ll be a Generative AI expert who is hands-on as well as be adept at evangelizing and influencing multiple stakeholders without direct authority on best practices and to get things done efficiently. Most importantly – we believe in a people-first approach. Our team consists of people from a wide variety of backgrounds, with different professional and life experiences, who support each other to build things the right way and enjoy ourselves while doing it. A successful candidate will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both external customers and internal teams, as well as hands-on experience as a data scientist applying AI to solve business problems.

What we offer

Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide.
High visibility to senior leadership, as well as technical leaders and partners.
Opportunity to build state-of-the-art technologies in large language models and generative AI at scale.
Close partnership with product managers and software engineers to deploy Generative AI features into products in various business-critical scenarios.
Building performance evaluations of Generative AI systems for continuous improvement of alignment with stakeholders' growing expectations.

What You’ll Do

Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations.
Collaborate with software engineers to deploy LLM / Generative AI models and Agents into production environments.
Stay up-to-date with the latest advancements in the field of generative AI.
Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company.
Work directly with key customers and accompany them on their AI journey – understanding their requirements, help them envision and design the right solutions and work together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners.
Design and build solutions and help GBU development teams reach successful pilots, PoCs and feature releases with our AI/Gen AI and DS technologies.
Bring back learnings from these engagements to standardize Generative AI and Agent implementations for efficiency, scale and ease of maintenance.
Support GBU consulting with re-usable solution patterns and reference solutions / showcases that can apply across multiple customers.
Being enthusiastic, self-motivated, and a great collaborator. Lead patent filings and author papers to show innovative enterprise grade developments.

Qualifications:

PhD, MS in computer science, engineering, mathematics or a field related to deep learning.
Strong knowledge of ML fundamentals – supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data.
7+ years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field.
Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers).
Hands-on experience with distributed training of large language models.
Strong development experience of deep learning modeling in Python.
Familiarity with the latest advancements in LLM and generative AI technologies.
Familiarity with engineering best practices, including shared codebase, version control, containerization, etc.
Passionate about being a builder and working with talented peers to solve hard problems at scale.

Preferred Skills

Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories
Industrial experience in system design, software development, and production deployment
Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving.
First-hand experience with deep reinforcement learning
First-hand experience with the latest technologies in LLM and generative AI such as parameter-efficient finetuning and instruction finetuning is a plus
Familiarity with the latest advancements in computer vision and multimodal modeling (such as CLIP, DALL-E2, and diffusion models) is a plus
Top-tier performance in prestigious deep learning leaderboards or large model-related competitions is a plus.

Apply Now

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