AI ML 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
Senior Software Engineer
In-Person
5,000+ Employees
6+ years of experience
AI · Enterprise SaaS

Description For AI ML Engineer

Oracle is seeking an experienced AI ML Engineer to join their team in India. This role focuses on designing, building, and deploying AI solutions in a scalable and efficient manner. The position requires expertise in Docker, Kubernetes, MLOps practices, and Python programming for AI model development. The ideal candidate will have 6-10+ years of experience and strong skills in machine learning, particularly in areas like deep learning and NLP.

As an AI Engineer, you'll work closely with cross-functional teams to develop and deploy AI solutions, manage MLOps pipelines, and work with cutting-edge technologies including generative AI. The role demands both technical expertise and strong collaborative abilities, as you'll be interfacing with diverse teams across the organization.

Oracle offers a comprehensive benefits package including medical, life insurance, and retirement options. The company has a 40+ year track record of innovation and maintains a strong commitment to diversity and inclusion. This position provides an opportunity to work with industry-leading cloud solutions and contribute to cutting-edge AI applications.

The role requires strong technical skills in Python, machine learning frameworks, containerization, and cloud platforms. Experience with CI/CD pipelines, version control, and production-level AI systems is essential. The position offers exposure to large-scale AI deployments and opportunities to work with various data engineering tools and frameworks.

Last updated 2 hours ago

Responsibilities For AI ML Engineer

  • Design and develop AI/ML models and systems from prototyping to production
  • Utilize Docker and Kubernetes for containerization and orchestration
  • Implement and manage end-to-end MLOps pipelines
  • Build robust, reusable, and scalable Python code
  • Work on integration and deployment of generative AI models
  • Troubleshoot, optimize and maintain production-level AI models
  • Stay up-to-date with latest trends in AI and MLOps

Requirements For AI ML Engineer

Python
Kubernetes
  • Bachelor's or Master's degree in Computer Science, Engineering or related field
  • 3+ years experience in AI/ML engineering with Docker, Kubernetes, and MLOps
  • Expertise in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Experience with deep learning and NLP
  • Hands-on experience with Docker and Kubernetes
  • Knowledge of cloud platforms (OCI, AWS, Azure, GCP)
  • Experience with CI/CD pipelines and Git
  • Strong understanding of generative AI models
  • Excellent communication and teamwork skills

Benefits For AI ML Engineer

Medical Insurance
  • Competitive benefits package
  • Medical insurance
  • Life insurance
  • Retirement options
  • Volunteer programs

Interested in this job?

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