AI Developer, Cloud Operations
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Work with Oracles world class technology to develop implement and support Oracles global infrastructure.
As a member of the IT organization assist with the analyze of existing complex programs and formulate logic for new complex internal systems. Prepare flowcharting perform coding and test/debug programs. Develop conversion and system implementation plans. Recommend changes to development maintenance and system standards.
Job duties are varied and complex utilizing independent judgment. May have project lead role. BS or equivalent experience in programming on enterprise or department servers or systems.
Responsibilities
High level:
Required Knowledge Skills Abilities and Background
Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence or a related field.
3-5 years of professional experience as an AI Developer ML Engineer or similar role with proven success in deploying AI solutions in production environments.
Strong proficiency in programming languages such as Python (primary) Java C or R.
Hands-on experience with ML frameworks (e.g. Scikit-Learn TensorFlow PyTorch) and deep learning techniques (e.g. neural networks CNNs RNNs).
Expertise in data manipulation tools like Pandas NumPy and SQL/NoSQL databases.
Familiarity with cloud platforms (AWS Azure GCP or OCI) and tools for model deployment (e.g. Docker Kubernetes MLflow).
Solid understanding of software engineering principles including version control (Git) RESTful APIs and Agile/DevOps methodologies.
Excellent problem-solving skills with the ability to handle ambiguous problems and thrive in a collaborative fast-paced setting.
Detail:
Job Title: Senior Service Reliability Operator
Grade: IC2/ IC 3
Key Responsibilities
Design and implement machine learning (ML) and deep learning models using frameworks like TensorFlow PyTorch and Keras to solve real-world problems in areas such as natural language processing (NLP) computer vision and predictive analytics.
Collect preprocess and analyze large datasets to train validate and optimize AI models for accuracy and scalability.
Integrate AI solutions into production environments including API development cloud deployment (AWS Azure GCP or OCI ) and MLOps practices for seamless automation.
Contribute to AI projects from prototyping to deployment including documentation of methodologies algorithms and processes.
Collaborate with data scientists software engineers and stakeholders to align AI initiatives with business goals and ensure ethical AI practices.
Troubleshoot and debug complex AI systems resolving issues related to model performance data quality and integration challenges.
Qualifications
Career Level - IC3
Key Skills
- Six Sigma
- Lean
- Management Experience
- Process Improvement
- Microsoft Outlook
- Analysis Skills
- Warehouse Management System
- Operations Management
- Kaizen
- Leadership Experience
- Supervising Experience
- Retail Management
About Company
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 eve ... View more
