Machine Learning (ML)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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Oracle cloud
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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Full Stack Developer - Averlon