Why work at Oracle

A competitive salary with exciting benefitsFlexible and remote working Learning and development opportunities to advance your careerAn Employee Assistance Program to support your mental healthEmployee resource groups that champion our diverse communitiesCore benefits such as medical, life insurance, and access to retirement planningAn inclusive culture that celebrates what makes you unique

 

What you will do

As an AI Specialist, you will be responsible for using generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies.

Identify and Define AI Use Cases: Work with stakeholders to understand business challenges and identify potential AI-driven solutions and Industry use cases.AI Solution Design: Design and develop AI models and algorithms with customers using Oracle technology and applications.Data Management and Analysis: Collect, preprocess, and analyze large datasets to train and validate AI models.Integration and Deployment: Integrate AI models into existing systems and ensure seamless deployment.Monitoring and Maintenance: Monitor the performance of AI models and maintain them to ensure continued accuracy and efficiency.Collaboration and Knowledge Sharing: Work closely with other teams and share knowledge to foster an AI-driven culture within the organization.Research and Innovation: Stay updated with the latest AI trends and technologies to drive innovation within the organization.

Qualifications:

Master's degree or higher in Computer Science, Engineering, Mathematics, or related field. Advanced degree preferred5+ years of experience in machine learning engineering, with a focus on building and deploying conversational AI solutions.Proven expertise in developing RAG models, working with vector databases, and fine-tuning large language models.Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or JAX.Experience with cloud platforms (e.g., AWS, OCI) and containerization technologies (e.g., Docker, Kubernetes).Solid understanding of NLP fundamentals and experience with NLU/NLG techniques such as sentiment analysis, entity recognition, and text generation.Excellent problem-solving abilities and a pragmatic approach to building scalable and robust machine learning systems.Strong communication skills with the ability to collaborate effectively with cross-functional teams and articulate complex technical concepts to non-technical stakeholdersExperience with OCI/AWS and related services is desirable.

You should have

Proficiency in machine learning algorithms, deep learning, natural language processing, computer vision, and other AI techniques.Strong skills in programming languages such as Python, R, Java, or Scala.Experience with SQL, NoSQL databases, data warehousing, and big data technologies.Familiarity with Oracle Cloud Infrastructure (OCI) and other cloud platforms like AWS, Azure, or Google Cloud.Proficiency in using AI/ML frameworks and libraries such as TensorFlow, Keras, PyTorch, and scikit-learn.Strong analytical skills to interpret complex data and derive actionable insights.Ability to tackle complex problems and develop innovative solutions.Experience in managing AI projects from conception to deployment.Familiarity with Agile and Scrum methodologies for project management.Ability to communicate effectively with stakeholders to understand their needs and present AI solutions.Strong interpersonal skills to work collaboratively with cross-functional teams.A proactive approach to staying updated with the latest advancements in AI and related technologies.Ability to think creatively and drive innovative AI initiatives.Understanding of the specific industry in which Oracle operates, including common challenges and opportunities for AI applications