Senior ML Engineer

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Machine Learning
Senior Software Engineer
In-Person
5,000+ Employees
6+ years of experience
AI · Healthcare

Description For Senior ML Engineer

Oracle Health & AI is a new organization focusing on product development and strategy for Oracle Health, building a complete platform supporting modernized, automated healthcare. Within this organization, the Oracle Digital Assistant (ODA) team is seeking a Senior ML Engineer to join their innovative team.

The role involves working with the ODA platform, which enables developers to create their own skills and digital assistants using Conversational AI and Generative AI capabilities. The team has been powering conversational AI experiences for all internal Oracle teams and external customers for 7 years and is rapidly evolving to provide Generative AI solutions for healthcare and enterprise domains.

As a Senior ML Engineer, you'll work with huge volumes of data to solve real-world problems in the Healthcare domain. Your solutions will be productized as features in end products, with a significant focus on Large Language Models (LLMs) and Generative AI. The position involves new feature development for CDA Specialty Expansion & Innovation, Language & Region Expansion, and extensive work with ML Engineering, MLOps, LLMOps, and Applied ML Sciences.

The role requires strong expertise in machine learning, particularly in LLMs and GenAI, with hands-on experience in MLOps and production deployments. You'll be responsible for building scalable solutions, managing cloud infrastructure, and implementing robust ML pipelines. The position offers the opportunity to work in an entrepreneurial environment with high visibility and senior leadership support.

This is an excellent opportunity for someone passionate about machine learning and healthcare technology, offering the chance to work on cutting-edge AI solutions while being part of Oracle's established ecosystem. The role combines technical depth with practical application, requiring both ML expertise and software engineering skills.

Last updated 9 days ago

Responsibilities For Senior ML Engineer

  • Fully own the services built with ML Scientists including scalability, availability, metrics, and alarms/alerts
  • Cloud Administration: administration of VMs, patching, upgrading packages, working with endpoints, load balancing
  • Setup CI/CD pipelines for ML scientists and own production pipeline
  • Data quality checks & onboarding data to cloud for modeling purposes
  • Build extensible solutions around drift checks and impact assessment
  • Prompt Engineering, FT work, Evaluation, Data
  • End-end AI Solution architecture, latency tradeoffs, LLM Inference Optimization
  • Python and Java development

Requirements For Senior ML Engineer

Python
Java
  • Masters degree preferred
  • Experience having led multiple projects leveraging LLMs, GenAI and Prompt Engineering
  • Exposure to real-world MLOps deploying models into production
  • Knowledge of working in a cloud environment
  • 5+ Years of Experience
  • Strong understanding of LLMs, GenAI, Prompt Engineering and Copilot

Benefits For Senior ML Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Competitive benefits based on parity and consistency
  • Flexible medical, life insurance, and retirement options
  • Volunteer programs
  • Work-life balance

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