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Engaged Employer

Oracle

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3.7

based on 5.2k Reviews

Video summary

1411 Oracle Jobs

Applied Scientist 4

Oracle India Pvt. Ltd.

3.7

based on 5.2k Reviews

5-10 years

Bangalore / Bengaluru

1 vacancy

Applied Scientist 4

Oracle

posted 3d ago

Job Role Insights

Flexible timing

Key skills for the job

Python Oracle Healthcare Machine Learning Front End Deep Learning

+ 4 more

Job Description

We are looking for ML scientists, Data Engineers, Software Development Engineers, Product/Program Managers and ML engineers with a strong background in machine learning to build industry-leading solutions. You will work with huge volumes of data to solve/enable solving real-world problems in the Healthcare domain that are productionized into our Health AI products. Your solutions will be productized as features in the end products. These are new teams that we are putting together in India Center from scratch and the work will span across New Feature Development for CDA Specialty Expansion & Innovation, Language & Region Expansion, Software Development across front-end, back-end, test automation and mobile, ML Engineering, MLOps, LLMOps, Applied ML Sciences and ML Research, with a huge focus on GenAI capabilities. There is a huge emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers.

Qualifications

Ph.D. Degree preferred.
Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering Exposure to real-world MLOps deploying models into production adding features to products
Knowledge of working in a cloud environment
5+ Years of Experience
Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot

Responsibilities

Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras) and understanding of LLMs, LLMOps and Generative AI - to be able to deliver per specifications; complete assignments without assistance by exercising judgment & appropriate actions
Knowledge of Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP. Hands-on develop ML models using the above techniques
Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up; Able to prepare data pipelines and feature engineering pipelines to build robust models
Combine ML Sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across Healthcare domain
Drives selection of methods and techniques to drive solutions
Demonstrate strong program management to be able to multi-task effectively
Be able to mentor & lead junior data scientists effectively
Contribute to peer reviews, team learning, meeting product objectives and develop best practices for the organization
Strong research record preferred demonstrated, through publications
Scientific thinking and ability to invent: Prior experience creating intellectual property through patents desirable
Identify and investigate new technologies, prototype and test solutions for product features and design/validate patterns that deliver a compelling experience
Take responsibility for technical problem solving to meet product objectives and develop best practices
Ability to resolve complex business problems in creative and effective ways
Strong experience in LLM Systems and LLMOps. Prior experience with Prompt Engineering and RAG systems