AI Infrastructure Architect for Enterprise Cloud Services
4 weeks ago
Oracle is a world leader in cloud solutions, harnessing the power of tomorrow's technology to address today's challenges. At the forefront of innovation, we recognize that diverse perspectives and abilities are essential to driving progress.
We are committed to expanding our inclusive workforce, fostering a culture that promotes diverse insights and perspectives. Our partnership with industry leaders has enabled us to thrive across various sectors, operating with integrity and adaptability.
Pursuing global opportunities, Oracle offers a highly competitive suite of employee benefits designed on the principles of parity and consistency. Flexible medical, life insurance, and retirement options ensure our employees' well-being. We also encourage community engagement through volunteer programs, promoting social responsibility and corporate citizenship.
Our commitment to inclusion extends to people with disabilities at all stages of the employment process. We adhere to equal employment opportunity practices, ensuring that all qualified applicants receive consideration without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veterans' status.
As a seasoned ML Architect/Senior Engineer, you will play a pivotal role in designing, implementing, and optimizing AI services and platforms for managing and deploying models in production environments. Your expertise will be invaluable in building scalable ML infrastructure and platforms, as well as translating business needs into advanced machine learning AI services.
You will have the autonomy to collaborate with multi-functional teams, drive innovation, and maintain a strong knowledge of container orchestration technology like Kubernetes and Docker. Your solid understanding of software engineering principles, including version control, testing, and deployment automation, will be essential in delivering high-quality products.
A successful candidate will possess a BS or MS degree in Computer Science or a relevant technical field, along with 12+ years of total experience in software development. Strong proficiency in programming languages such as Python, Java, and ML frameworks/libraries like TensorFlow, PyTorch, or scikit-learn is required. Hands-on experience with Design, Development, and Maintenance of services on a public cloud platform (e.g., AWS, Azure, Oracle) is also necessary.
Responsibilities will include:
- Building and maintaining scalable ML infrastructure and platforms
- Designing, implementing, and optimizing AI services/ML Engineering Platform/Infra
- Implementing standard methodologies for ML Ops, Dev Ops
- Proven ability to deliver products and experience with the full software development lifecycle
- Experience working on large-scale, highly distributed services infrastructure
- Translate business needs into advanced machine learning AI services
- Develop analysis and optimization methods to improve the AI platform capabilities
The estimated salary for this position is $180,000 - $250,000 per annum, depending on qualifications and location. This compensation reflects the company's commitment to rewarding talent and providing a fair market rate for exceptional professionals.
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