Oracle

AI/ML Engineer

Posted On

Jan. 29, 2026

Location

Noida, Uttar Pradesh

Experience Level

Professional

Job Type

Permanent

Apply By

July 28, 2026

Job Description

About Oracle Healthcare Data Intelligence

Oracle Healthcare Data Intelligence (HDI) is at the forefront of leveraging data and AI to transform the healthcare and life sciences industries. Our SafetyOne platform uses agentic AI, generative models, NLP, and to automate pharmacovigilance workflows. We're developing multi-agent systems that handle case processing, medical coding, and safety signal detection—with appropriate human oversight and regulatory guardrails.

The Opportunity

We're hiring an AI/ML Engineer (IC2) to implement and integrate AI models into SafetyOne's pharmacovigilance platform. You'll work on production AI systems that extract entities from adverse event reports, assist with medical coding and causality assessment, and generate clinical narratives.

You'll implement LLM-based solutions, integrate models into SafetyOne workflows, and collaborate with senior data scientists and engineers to deploy AI capabilities at scale. This role offers significant learning opportunities in agentic AI, healthcare NLP, and regulated software development, with clear growth paths toward senior technical roles.

Career Level: IC2

What You Bring

Qualifications

Bachelor’s or Master’s degree in Computer Science or related technical field, with 2+ years of experience in AI, ML, or data-driven solution development.
Experience building and deploying machine learning models or AI applications
Familiarity with Python and common ML/NLP libraries
Experience working with APIs, databases, and production software systems
Understanding of software engineering best practices (version control, testing, documentation)

Technical Skills

Must Have:

Python programming with experience in ML/data science libraries (scikit-learn, pandas, numpy, matplotlib)
Familiarity with at least one deep learning framework (PyTorch, TensorFlow, or similar)
Basic understanding of NLP concepts: text processing, embeddings, classification, entity extraction
Experience with SQL and working with both structured and unstructured data
Understanding of RESTful APIs and integrating ML models into applications
Familiarity with Git and collaborative development workflows

Highly Valued:

Exposure to LLMs and prompt engineering
Hands-on work with RAG or vector databases and semantic search.
Familiarity with cloud platforms (OCI, AWS, Azure, GCP) and containerization (Docker)
Comfortable with Linux/Unix environments and command-line tools
Familiarity with MLOps practices: model deployment, monitoring, CI/CD for ML
Experience with healthcare or life sciences data and applications
Understanding of transformer architectures

Personal Attributes

Problem-solver with strong analytical and debugging skills
Collaborative team player who communicates effectively with technical and non-technical stakeholders
Self-motivated learner eager to grow technical expertise in AI/ML and healthcare domains
Quality-focused with attention to detail and commitment to production-ready code
Adaptable and comfortable working in a fast-paced, evolving environment

Why Join Us

Work on challenging, real-world AI problems in a regulated domain.
Build models at production scale for global life sciences organizations.
Collaborate with experienced engineers, scientists, and PV experts.
Access broad learning and career opportunities across Oracle.
Contribute to systems that directly improve patient safety.

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