Principal Datascience and AIML Engineer

A world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges, partnering with industry-leaders in almost every sector for over 40+ years.
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
6+ years of experience
AI · Enterprise SaaS · Cloud

Description For Principal Datascience and AIML Engineer

Oracle Customer Success Services is seeking a Principal Data Science & AIML Engineer to join their CSS CDO Architecture & Platform team. This role combines cutting-edge AI/ML development with enterprise-scale software architecture. You'll be working within Oracle's Customer Success Services Engineering division, responsible for designing and building advanced solutions for Oracle Cloud Infrastructure (OCI) and Cloud Applications.

The position offers a unique opportunity to lead AI/ML initiatives in a garage culture environment that emphasizes innovation and rapid development. You'll be working with state-of-the-art technology stacks, focusing on scalability and robustness while building distributed AI systems that directly impact Oracle's cloud offerings.

As a Principal Engineer, you'll be responsible for designing and implementing machine learning systems, leading technical initiatives, and serving as a thought leader in the AI/ML space. The role involves working with various ML frameworks, data engineering tools, and cloud technologies while maintaining a focus on architectural excellence and operational reliability.

Key aspects of the role include:

  • Leading ML model development and integration with enterprise systems
  • Designing and implementing data engineering pipelines
  • Working with cutting-edge AI technologies including NLP, Computer Vision, and Generative AI
  • Building and deploying cloud-native applications
  • Mentoring team members and driving technical excellence

The ideal candidate will combine deep technical expertise in AI/ML with strong software engineering principles and leadership abilities. This role offers the opportunity to work with enterprise-scale systems while maintaining the agility to innovate and experiment with new technologies.

Benefits include competitive compensation, medical and life insurance, retirement options, and work-life balance. Oracle promotes an inclusive environment and supports employee growth through various professional development opportunities.

Last updated 3 days ago

Responsibilities For Principal Datascience and AIML Engineer

  • Lead the development of machine learning models and integration with full stack software ecosystem
  • Collaborate with product managers and development teams to identify software requirements
  • Develop and maintain technical documentation
  • Analyze and recommend new software technologies and platforms
  • Work with development teams to ensure software projects delivery
  • Provide guidance and mentorship to junior developers
  • Stay up-to-date with industry trends

Requirements For Principal Datascience and AIML Engineer

Python
Kubernetes
MongoDB
Redis
PostgreSQL
  • Bachelor's or Master's Degree in Computer Science, Machine Learning/AI, or related field
  • 6+ years of experience in software development, machine learning, data science, and data engineering design
  • Experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn
  • Experience in Data Engineering using ETL/ELT, Apache Hadoop, Spark, Flink
  • Strong expertise in software design concepts and CNCF-compliant software
  • Experience with Microservice architecture patterns
  • Strong interpersonal skills and communication abilities
  • Advanced proficiency in Python and frameworks

Benefits For Principal Datascience and AIML Engineer

Medical Insurance
401k
  • Medical Insurance
  • Life Insurance
  • 401k
  • Volunteer Programs
  • Work-Life Balance

Interested in this job?

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