Principal Datascience and AIML Engineer

A world leader in cloud solutions, using tomorrow's technology to tackle today's challenges. Partner 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, focusing on building scalable, distributed, and resilient services for OCI & Oracle Cloud Applications.

The position sits within Oracle's Customer Success Services Engineering division, responsible for designing and managing solutions for Oracle's managed cloud business. Working in a garage culture environment, you'll be part of a team that emphasizes innovation, scalability, and robustness in cloud-native digital transformation.

As a Principal Engineer, you'll lead the development of machine learning systems, from architecture design through operational readiness. Key focus areas include building recommendation engines, NLP & transformers, computer vision, and generative AI applications. You'll work with cutting-edge technologies including PyTorch, TensorFlow, and various RAG techniques while ensuring integration with enterprise-scale distributed systems.

The role requires deep expertise in both traditional and modern ML/AI approaches, combined with strong software engineering practices. You'll be expected to mentor others, drive technology adoption, and contribute to the broader technical strategy of the organization. This position offers the opportunity to shape the future of Oracle's AI/ML capabilities while working with enterprise-scale cloud infrastructure.

The ideal candidate brings 6+ years of experience in software development and ML/AI, with proven ability to build enterprise-distributed systems. You should be comfortable with both theoretical ML concepts and practical implementation, including experience with modern AI frameworks, data engineering tools, and cloud-native architectures.

Oracle offers competitive benefits, including medical, dental, and vision insurance, retirement options, and programs supporting work-life balance. The company maintains a strong commitment to diversity and inclusion, providing opportunities for professional growth in a collaborative environment.

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 to identify software requirements
  • Develop and maintain technical documentation
  • Analyze and recommend new software technologies
  • Provide guidance and mentorship to junior developers
  • Design and develop machine learning systems and applications
  • Build and manage enterprise-distributed and cloud-native systems

Requirements For Principal Datascience and AIML Engineer

Python
Kubernetes
MongoDB
Redis
PostgreSQL
Kafka
  • 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
  • Advanced proficiency in Python and frameworks such as FastAPI, Dapr & Flask
  • Deep 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

Benefits For Principal Datascience and AIML Engineer

Medical Insurance
Vision Insurance
Dental 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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