AI/ML Engineer - Sr Member technical staff

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The Oracle Life Sciences GIU is the leading provider of integrated data collection and data management solutions for clinical trials and drug safety. As a member of the LSGIUdevelopment organization, you will contribute to a mission-critical platform that enables our customers to develop solutions thataddress worldwide healthcare problems in therapeutic areas such as vaccines and oncology with unmatched performance, scale, and reliability.

A successful candidate will be a strong team player who is able to work across multiple functions and disciplines. The candidate should be self-directed and have deep experience and knowledge of software design, coding, and testing methodologies.

Senior AI/ML Engineer - IC3

Oracle Healthcare Data Intelligence | SafetyOne Platform

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 LLMs 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 a Senior AI/ML Engineer (IC3) to build and deploy AI models for SafetyOne's pharmacovigilance platform. You'll develop production systems that extract entities from adverse event reports, assist with medical coding and causality assessment, and generate clinical narratives.

You'll work on LLM-based solutions and RAG pipelines, collaborating with data scientists, engineers, and product managers to deliver AI capabilities at scale. This role focuses on taking AI models from concept to production, ensuring they perform reliably in a regulated healthcare environment.

Career Level: IC3

What You'll Do

Model Development and Innovation

• Develop and deploy LLM and NLP models for pharmacovigilance-specific tasks
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines for document processing and Q&A systems
• Develop and iterate agentic workflows (e.g., using modular AI frameworks) to support complex safety use cases
• Work with vector databases and semantic search systems to support intelligent document retrieval
• Adapt and integrate pre-trained models for pharmacovigilance use cases

Evaluation and Quality Assurance

• Develop evaluation frameworks to measure model performance on pharmacovigilance-specific metrics
• Conduct performance analysis and error analysis on model outputs
• Implement guardrails and validation checks to ensure clinical accuracy
• Work with domain experts to validate model outputs and refine approaches
• Participate in continuous model improvement based on production feedback

Deployment & Operations

• Deploy models to Oracle Cloud Infrastructure (OCI) using containerization and MLOps best practices
• Build monitoring and observability systems for production AI models
• Support model versioning, A/B testing, and gradual rollouts
• Troubleshoot production issues and optimize model performance
• Collaborate with engineering teams to integrate AI capabilities into SafetyOne workflows

Collaboration & Technical Leadership

• Partner with product managers, software engineers, and UX designers to deliver AI features
• Work with pharmacovigilance subject matter experts to understand requirements
• Provide technical guidance to junior team members
• Contribute to technical documentation and team best practices
• Stay current with advances in LLMs, RAG systems, and healthcare AI

What You Bring

Qualification

• Bachelor's or Master's degree in Computer Science or related technical field, with 4+ years of experience in AI, ML, or data-driven solution development.
• Demonstrated experience in designing, building, and deploying AI/ML solutions in production environments.
• Experience with Large Language Models (LLMs), Generative AI, or agentic AI solutions
• Proven track record building RAG systems, vector databases, and semantic search
• Experience designing and executing model evaluations for real-world applications
• Track record of taking models from development to production

Technical Skills

Must Have:

• Strong Python programming with production-quality code practices
• Experience with deep learning frameworks (PyTorch or TensorFlow)
• Solid understanding of NLP and LLMs: prompting, fine-tuning, or adaptation techniques
• Experience building RAG systems or working with vector databases
• Proficiency with SQL and working with structured and unstructured data
• Experience with REST APIs and integrating ML models into applications
• Strong Git and software engineering practices (testing, code reviews, CI/CD)

Highly Valued:

• Experience with cloud platforms (OCI, AWS, Azure, GCP) for ML workloads
• MLOps experience: model versioning, containerization (Docker), CI/CD for ML, model monitoring
• Experience with prompt engineering and parameter-efficient fine-tuning (LoRA, adapters)
• Familiarity with distributed systems and handling large-scale data
• Comfortable with Linux/Unix environments and command-line tools
• Understanding of transformer architectures and modern NLP techniques

Domain Knowledge (Preferred)

• Interest in pharmacovigilance, drug safety, and regulatory compliance
• Understanding of medical terminology and healthcare data structures
• Experience with healthcare NLP tasks: clinical NER, medical coding, clinical text processing
• Knowledge of adverse event workflows, case processing, or safety signal detection

Personal Attributes

• Problem-solver with strong analytical skills
• Clear communicator with cross-functional partners
• Self-directed contributor who delivers high-quality, production-ready work
• Curious and impact-driven, with a focus on patient safety

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
  Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Leading contributor individually and as a team member, providing direction and mentoring to others. BS or MS degree or equivalent experience relevant to functional area. 6+ years of software engineering or related experience.

Career Level - IC3