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Senior Service Reliability Operator (SRO), Cloud Operations

India

Work with Oracle's world class technology to develop, implement, and support Oracle's 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.

High level:

Required Knowledge, Skills, Abilities, and Background · ·

Bachelor's or Master's 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.

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