Senior Principal Architect - AIML & Data Science

Oracle is a world leader in cloud solutions, using tomorrow's technology to tackle today's challenges. They've partnered with industry-leaders in almost every sector and have been thriving for over 40 years.
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Cloud

Description For Senior Principal Architect - AIML & Data Science

Oracle Customer Success Services is seeking a Senior Principal Architect specializing in Data Science and Artificial Intelligence Machine Learning to lead their AI strategy and development efforts. This role sits within the CSS Architecture Team, working in a garage culture environment that emphasizes innovation and cutting-edge technology.

The position involves leading the strategy for AIML efforts in designing and building scalable, distributed, resilient services that provide artificial intelligence and machine learning capabilities. The role requires extensive experience in machine learning algorithms, model creation and evaluation, data engineering, and software development methodologies.

As a Senior Principal Architect, you'll be responsible for shaping the AI Strategy for the business, providing thought leadership impacting business and technology decisions, and leading the technology charter for AI ML Development and Engineering teams. You'll work with cutting-edge technologies including PyTorch, TensorFlow, and various cloud platforms while building enterprise-scale AI solutions.

The ideal candidate will have 10+ years of experience in software development and AI/ML, with deep expertise in both traditional and deep learning, particularly in areas such as Recommendation Engines, NLP & Transformers, Computer Vision, and Generative AI. Strong communication skills and the ability to bridge business and technical requirements are essential.

Oracle offers a competitive benefits package including medical, dental, and vision insurance, retirement options, and work-life balance. The company promotes an inclusive workplace culture and provides opportunities for professional growth and development. This role offers the unique opportunity to shape the future of AI/ML solutions at one of the world's leading technology companies while working with enterprise-scale systems and cutting-edge technologies.

The position is based in India and requires strong English language skills. This is a regular, full-time position that offers the opportunity to work on mission-critical solutions for enterprise customers while being part of a vibrant, imaginative, and highly varied workplace.

Last updated 12 hours ago

Responsibilities For Senior Principal Architect - AIML & Data Science

  • Lead the AI Strategy, Architecture and Design for AI, ML and Data Science Products
  • Provide thought leadership and technology oversight to AIML Development Teams
  • Lead development of machine learning models and integration with full stack ecosystem
  • Collaborate with product managers to identify requirements and define project scopes
  • Develop and maintain technical documentation
  • Provide guidance and mentorship to junior developers
  • Drive technology adoption in AIML Solutions and CNCF software stack

Requirements For Senior Principal Architect - AIML & Data Science

Python
Kubernetes
MongoDB
Redis
Kafka
  • PhD, Master's or Bachelors in Computer Science, Machine Learning/AI, or related field
  • 10+ years of experience in software development, AI, ML, data science, and data engineering
  • Experience with ML frameworks like PyTorch, TensorFlow, and Scikit-learn
  • Deep experience with 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 ability to communicate with business stakeholders

Benefits For Senior Principal Architect - AIML & Data Science

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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