Job Description
OCI's AI for Operations (AI-Ops) team is building intelligent systems that make Oracle Cloud self-monitoring, self-diagnosing, and self-healing.
As a Senior Data Scientist / Data Engineer, you will design and operationalize the data pipelines, models, and algorithms that power AI-driven reliability across OCI's global infrastructure. You'll work with vast, high-velocity telemetry streams - from routers, circuits, and compute clusters - to build predictive and prescriptive models that help prevent outages, accelerate root-cause analysis, and optimize capacity.
This is a hands-on technical role at the intersection of machine learning, large-scale data systems, and reliability engineering.
Responsibilities
Key Responsibilities
Build and optimize large-scale data ingestion, transformation, and feature pipelines using tools like Kafka, Spark, Flink, and OCI Data Flow.Ensure data quality, timeliness, and consistency across multi-region sources.
Develop, train, and deploy models for anomaly detection, event correlation, predictive maintenance, and root-cause inference.Leverage both statistical modeling and deep learning frameworks (e.g., PyTorch, TensorFlow, Scikit-Learn).
Work with LLMs and retrieval-augmented generation (RAG) techniques for intelligent alert summarization, incident clustering, and automated RCA generation.
Embed model outputs into OCI's observability and automation platforms to enable closed-loop decisioning - connecting detection ? diagnosis ? remediation.
Continuously validate models against real-world incident data. Define metrics for prediction precision, RCA accuracy, and operational impact.
Partner with NRE, GNOC, and platform engineering teams to translate operational challenges into AI/ML solutions that scale to OCI's hyperscale environment.
Required Qualifications
5+ years of professional experience in data science, machine learning, or data engineering for large-scale or production systems.
Strong programming skills in Python (preferred), Scala, or Go.
Expertise with distributed data systems - Kafka, Spark, Flink, or similar.
Experience building and deploying ML models in production using MLflow, Kubeflow, or OCI Data Science.
Solid grasp of statistics, anomaly detection, clustering, time-series modeling, and predictive analytics.
Familiarity with cloud infrastructure and observability data (metrics, logs, traces, topology).
Ability to work end-to-end - from data exploration and modeling to deployment, monitoring, and iteration.
Bachelor's or Master's in Computer Science, Data Science, Electrical Engineering, or related field.
Preferred Skills
Experience with LLM integration (OpenAI, Bedrock, Hugging Face, LangChain) for intelligent operations workflows.
Understanding of network telemetry, performance metrics, and reliability signals.
Knowledge of Infrastructure-as-Code tools (Terraform, Ansible) and DevOps automation.
Familiarity with data observability and model-drift monitoring.
Strong collaboration and communication skills - able to work closely with software, AI, and operations teams.
Disclaimer:
Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
About Us
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
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Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
