[Remote] Machine Learning Engineer
Role overview
As a Machine Learning Engineer, you should be proficient in building distributed systems, containerization, orchestration, and cloud-native architectures, you will collaborate with cross-functional teams to build scalable, reliable, and production-ready ML systems. Oracle is investing heavily in Generative AI, and as a ML Engineer, you must have a strong understanding and experience in leveraging the capabilities of Large Language Models.
Responsibilities
- check_circle Proficient in creating detailed design specifications and writing elegant code.Familiarity with Python, and ML frameworks such as PyTorch, TensorFlow, etc. is a must
- check_circle Lead the incubation of new initiatives, architect scalable solutions, and drive strategic technology choices to develop and deliver AI/ML capabilities for our customers.
- check_circle Develop high-quality, scalable, and efficient software solutions that integrate generative AI capabilities.
- check_circle Design, develop, test, and deploy Machine learning models, including large-language models and build pipelines at scale for batch and real-time use cases.
- check_circle Leverage third-party and in-house ML tools & OCI platform to develop reusable, highly performant machine learning systems with low-latency serving and reliable means to update/re-train ML models.
- check_circle Work collaboratively with cross-functional partners including product managers, operations, and data scientists, identify opportunities for business impact, understand and prioritize requirements for machine learning systems and data pipelines, drive engineering decisions, and quantify impact.
- check_circle Communicate continually with the project teams, and explain progress on the development effort.
- check_circle Ensures quality of work through development standards and QA procedures.
- check_circle Keen on improvising technical solutions and processes emphasizing discovery through doing, iteration, and feedback loops.
Tags & Focus Areas
About Oracle
Oracle Exadata is the cornerstone of Oracle Cloud's infrastructure. Our projects involve developing and delivering next-generation capabilities with cutting-edge infrastructure features that seamlessly integrate with leading hyperscaler cloud providers. Our multi-cloud solutions provide customers with flexibility, cost-efficiency, and the ability to handle large-scale AI workloads across various cloud platforms.
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