AI / ML Engineer
OraclePune (division)1 day ago
Job descriptionBachelor’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related technical field. At least 1 year of experience in AI, software engineering, or closely related fields (exceptional candidates with less experience will be considered). Hands-on knowledge of common AI techniques, including machine learning methods and statistical modeling. Masters degree or higher in Computer Science, Data Science, Artificial Intelligence, or related discipline. Experience with Large Language Models, Retrieval Augmented Generation, or other advanced modern AI tooling. Prior work with cloud platforms (preferably Oracle Cloud Infrastructure) a major plus. Experience in developing and deploying enterprise-grade AI solutions. Familiarity with DevOps practices and tools for CI / CD.
AI Applications Engineer
Interview Location- Pune
Job Location- Hyderabad / Bangalore / Pune / Noida
Join Oracle Applications Labs, where we design, build, and operate Oracle’s mission-critical AI-based enterprise applications—including systems that automate our AI cloud data centers. Our mission is to showcase Oracle’s AI-driven products and technologies, deploying them internally to support Oracle’s growth as a global AI leader.
As part of our global team of data scientists, AI engineers, program managers, and scrum masters, you’ll contribute to transforming Oracle into an industry leader in AI.
Essential Skills
- Proficiency in programming languages relevant to AI (e.g., Python, Java).
- Familiarity with modern AI / ML frameworks and platforms (e.g., TensorFlow, PyTorch, Oracle Cloud AI services).
- Practical experience with enterprise software development, including REST APIs, microservices, and cloud-native architectures.
- Strong problem-solving skills, particularly in translating business needs into scalable AI solutions.
- Excellent written and verbal communication skills.
- Ability to work effectively in a collaborative, multi-disciplinary, and global team environment.
Required :
Preferred :
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