AI/ML Engineer

About Oracle – Customer Success Services

Oracle is the only provider of fully integrated technology solutions that span both infrastructure and applications. Today’s businesses, however, need more than just the best technology solutions. They need a strategic partner to support sustained business growth. Oracle Customer Success Services (CSS) was created to help ensure customer’s ongoing success with our technology. CSS is completely integrated with Oracle’s product development teams to help maximize the value of customer’s cloud investment

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Exp:4+yrs to 10y

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Job Responsibiliti

es:As CSS AI Engineer, Work directly with customers and have a solid understanding of the application development and support processes. you will work closely with cross-functional teams to design, build, and deploy AI solutions in a scalable and efficient manner. You will be responsible for leveraging Docker and Kubernetes for containerization and orchestration, implementing MLOps practices and utilizing your skills in python and machine learning to build and enhance our AI models. Experience in Generative AI is highly desired as we continue to push the boundaries of AI applicatio

• ns.
  Design and develop AI/ML models and systems from prototyping to production, while ensuring scalability and efficie
• ncy.Utilize Docker and Kubernetes for containerization, deployment and orchestration of AI models and services in production environme
• nts.Implement and manage end-to-end MLOps pipelines to automate model training, testing, deployment and monitor
• ing.Build robust, reusable, and scalable Python code for AI model development and deploym
• ent.Work on the integration and deployment of generative AI models and systems for innovative applicati
• ons.Troubleshoot, optimize and maintain production-level AI models and servi
• ces.Stay up-to-date with the latest trends and advancements in AI, machine learning and MLOps technolog

ies.Mandatory Ski

• lls:
  Bachelor's or Master’s degree in Computer Science, Engineering or related f
• ield.Proven experience (3+ years) in AI/ML engineering with a strong focus on Docker, Kubernetes, and M
• LOps.Expertise in Python and frameworks/libraries such as TensorFlow, PyTorch, Scikit-learn or sim
• ilar.Solid understanding of machine learning algorithms and techniques, particularly in deep learning and natural language processing (
• NLP).Hands-on experience deploying and managing AI models in production using Docker and Kubern
• etes.Knowledge of cloud platforms (OCI, AWS, Azure, GCP) and how they relate to containerized AI deploym
• ents.Experience with CI/CD pipelines and version control (
• Git).Strong understanding of generative AI models such as GANs, VAEs or transfor
• mers.Familiarity with monitoring, logging, and debugging AI/ML systems in production environm
• ents.Excellent communication and teamwork skills, with the ability to collaborate with diverse t