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Applied Scientist 5 – AI/ML, Oracle Health
Applied Scientist 5 – AI/ML, Oracle Health
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Applied Scientist 5 – AI/ML, Oracle Health

Vijay Bangaru's profile picture
Posted by Vijay Bangaru
12 - 18 yrs
₹150L - ₹180L / yr (ESOP available)
Hyderabad, Bengaluru (Bangalore), Noida
Skills
Artificial Intelligence (AI)
skill iconMachine Learning (ML)
Natural Language Processing (NLP)

Job Location 

Bengaluru, Hyderabad or Noida

Job Summary 

Oracle Health is looking for an Applied Scientist 5 to build and productionize advanced AI/ML solutions that power next-generation healthcare platforms. In this senior individual contributor role, you will lead end-to-end applied research and development across areas such as clinical NLP, recommendations, anomaly detection, LLM-based assistants, and predictive modeling—working closely with product, engineering, and clinical experts to deliver measurable impact on patient outcomes and provider efficiency.

Responsibilities 

  • Lead the design, development, and deployment of AI/ML models for Oracle Health products (e.g., clinical NLP, triage, risk prediction, workflow automation, recommendations).
  • Own end-to-end ML lifecycle: problem formulation, data exploration, feature engineering, modeling, experimentation, evaluation, and productionization.
  • Build and optimize models using modern techniques: deep learning, transformers, LLMs, sequence models, gradient boosting, and classical ML where appropriate.
  • Design and implement scalable training, inference, and monitoring pipelines in partnership with platform and backend engineering teams.
  • Collaborate with product managers, clinicians, and domain experts to define use cases, metrics, and success criteria aligned to clinical and business outcomes.
  • Drive experimentation at scale (A/B tests, offline/online evaluation), and translate results into product decisions.
  • Work with large, noisy, and heterogeneous healthcare datasets (structured, unstructured text, time-series, logs, and images where relevant) while preserving privacy and compliance.
  • Ensure models meet requirements for robustness, fairness, explainability, reliability, and security, especially in clinical workflows.
  • Mentor and guide junior scientists and engineers; review designs, code, experiments, and documentation.
  • Contribute to the long-term AI/ML roadmap, architecture, tooling, and best practices within Oracle Health and across Oracle AI teams.
  • Stay current with research in AI/ML, especially in healthcare and LLMs, and bring relevant advances into production systems.

Required Qualifications 

  • 10+ years of experience in applied machine learning, data science, or related roles, with a strong track record of shipping production ML systems.
  • PhD in Computer Science, Machine Learning, Statistics, or related field, or MTech/MS with strong applied experience.
  • Deep expertise in at least one of: NLP (including transformers/LLMs), time-series modeling, recommendation systems, optimization, or causal inference.
  • Strong hands-on skills in Python and ML ecosystems (e.g., PyTorch, TensorFlow/JAX, Hugging Face, scikit-learn, XGBoost/LightGBM).
  • Proven experience designing experiments, defining metrics, and evaluating models rigorously in real-world settings.
  • Experience building and deploying scalable ML services in production (microservices, REST/gRPC, or batch pipelines) in partnership with software engineering teams.
  • Strong understanding of data management and MLOps concepts: feature stores, model versioning, monitoring, drift detection, and CI/CD for ML.
  • Ability to translate ambiguous business or clinical problems into well-defined ML formulations and deliver solutions with clear impact.
  • Excellent communication skills, with experience influencing cross-functional stakeholders and making clear technical and product recommendations.

Preferred Qualifications 

  • Experience with LLMs and generative AI: prompt engineering, fine-tuning, retrieval-augmented generation (RAG), safety/guardrails, and evaluation.
  • Background working with healthcare data (EHR/EMR, clinical notes, claims, imaging, device data) or other regulated, high-stakes domains.
  • Familiarity with privacy, security, and compliance requirements (HIPAA or similar), de-identification, and data governance.
  • Experience with cloud platforms and distributed systems (OCI preferred; AWS/Azure/GCP also relevant), and technologies such as Kubernetes, Docker, Kafka, Spark.
  • Contributions to research (publications, patents, open-source projects) in machine learning, NLP, or related fields.
  • Experience leading technical strategy, roadmaps, or cross-team AI/ML initiatives.

About Oracle Health 

Oracle Health is transforming healthcare by building secure, intelligent, and scalable cloud-based solutions that help clinicians make better decisions and improve patient outcomes. As an Applied Scientist 5, you will shape the AI/ML foundation of Oracle Health, working on mission-critical problems at the intersection of cloud, data, and healthcare.

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Oracle cloud

Founded :
2016
Type :
Product
Size
Stage :
Profitable

About

Oracle Cloud is a cloud computing service offered by Oracle Corporation providing servers, storage, network, applications and services through a global network of Oracle Corporation managed data centers. The company allows these services to be provisioned on demand over the Internet.

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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