Oracle · 1 month ago
Lead ML Infrastructure Engineer - CA, United States
Oracle is seeking a highly skilled Lead ML Infrastructure Engineer to spearhead the development, deployment, and scaling of machine learning infrastructure. This pivotal role involves collaborating closely with data scientists, ML engineers, and operations teams to build robust and efficient machine learning pipelines.
Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware
Responsibilities
Lead the design, implementation, and maintenance of scalable ML infrastructure solutions
Collaborate with data science and ML teams to optimize model deployment workflows
Develop and manage CI/CD pipelines to automate deployment processes
Architect and implement containerized environments using Docker and Kubernetes
Ensure infrastructure security, reliability, and compliance across cloud platforms
Optimize resource utilization and cost-efficiency in cloud environments
Drive best practices in Infrastructure as Code (IaC) with tools like Terraform
Stay current with the latest advancements in ML frameworks, cloud services, and infrastructure tooling
Mentor junior team members and promote a culture of continuous improvement
Qualification
Required
Proven experience as a Machine Learning Engineer or Infrastructure Engineer, with a focus on ML infrastructure
Strong expertise in programming languages Python and Java
Hands-on experience working with cloud platforms, with a strong preference for GCP; AWS and Azure experience are also valuable
Familiarity with popular machine learning frameworks such as TensorFlow and PyTorch, along with libraries like scikit-learn
Solid understanding of DevOps principles and experience with CI/CD pipelines
Experience with Infrastructure as Code tools, especially Terraform
Proficiency in containerization technologies including Docker and Kubernetes
Knowledge of big data processing tools like Apache Spark and Hadoop is highly preferred
Excellent problem-solving abilities combined with effective communication skills
Ability to work collaboratively in a fast-paced, dynamic environment
Preferred
Master's or Bachelor's or Master's in Computer Science, Data Science, or related field
Certifications in cloud platforms (e.g., GCP Professional Cloud Architect, AWS Certified Solutions Architect)
Demonstrated experience leading a team or managing complex infrastructure projects
Contributions to open-source ML or DevOps projects
Experience with monitoring and logging tools such as Prometheus, Grafana, ELK stack
Benefits
Medical, vision, and dental benefits
401k retirement plan
Variable pay/incentives
Paid time off
Paid holidays
Company
Oracle
Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.
H1B Sponsorship
Oracle has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1271)
2024 (846)
2023 (995)
2022 (1192)
2021 (985)
2020 (755)
Funding
Current Stage
Public CompanyTotal Funding
$25.75BKey Investors
Sequoia Capital
2025-09-24Post Ipo Debt· $18B
2025-02-03Post Ipo Debt· $7.75B
1986-03-12IPO
Leadership Team
Recent News
2026-01-09
2026-01-07
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