Senior Member Technical Staff

Oracle Cloud Infrastructure (OCI)is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). OCI is currently building a future-ready Gen2 cloud Data Science service platform. At the core of this platform, lies Cloud AI Cloud Service.

What OCI AI Cloud Services are:A set of services on the public cloud, that are powered by ML and AI to meet the Enterprise modernization needs, and that work out of the box. These services and models can be easily specialized for specific customers/domains by demonstrating existing OCI services.

Key Points:Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps - Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI.

You're Opportunity:As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AICloud service.

We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models.

What You'll Do

Develop scalable infrastructure, including microservices and backend, that automates training and deployment of ML models.

Building core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others.

Brainstorm and Design various POCs using AI Perpetual AI Services for new or existing enterprise problems.

Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs and addressing external and internal shareholder product challenges.

Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes.

Experiment with ML models in Python using machine learning libraries (Pytorch, TensorFlow, Jax), BigData, Hadoop, HBase, Spark, etc.

Leverage Cloud technology - Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology.

Qualifications

Master's degree or equivalent experience (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field.

3+ years for PhD or equivalent experience, 5+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments.

Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc.

Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes).

Working knowledge of current techniques and approaches in machine learning and statistical or mathematical models.

Experience with performance tuning, scalability, and load balancing techniques.

Expert in at least one high-level language such as Java/C++ (Java preferred).

Expert in at least one scripting language such as Python, Javascript, and Shell (Python preferred).

Deep understanding of data structures, and algorithms, and excellent problem-solving skills.

Experience or willingness to learn and work in Agile and iterative development and DevOps processes.

Strong drive to learn and master new technologies and techniques.

You enjoy a fast-paced work environment.

Additional Preferred Qualifications

Experience with Cloud Native Frameworks tools and products is a plus

Experience in Computer vision tasks like Image Classification, Object Detection, Segmentation, Text detection & recognition, Information extraction from documents, etc.

Having an impressive set of GitHub projects or contributions to open-source technologies is a plus

Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra is a plus.

Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big

• Design, develop, and implement AI and machine learning models for real-time surveillance analysis, such as facial recognition, object detection, and behavior analysis.
• Develop and optimize biometric authentication systems using techniques like facial recognition, voice recognition, or fingerprint scanning.
• Manage and optimize Oracle Kubernetes Engine (OKE) infrastructure to securely host and scale AI models, ensuring seamless deployment, high availability, and efficient resource utilization for real-time surveillance and authentication solutions.
• Continuously monitor and improve the performance of AI models, focusing on accuracy, speed, and efficiency of real-time analysis.
• Optimize algorithms for lower latency, better scalability, and robust performance in varying conditions.
• Stay up-to-date with the latest advancements in AI, machine learning, biometric technologies, and surveillance systems.
• Proactively research new technologies, methodologies, and tools that can be integrated to improve the capabilities of the solution.
• Maintain thorough documentation of AI models, system architectures, and processes for future development and regulatory compliance.
• Provide regular updates on project progress, challenges, and results to management and stakeholders.
• Troubleshoot and provide technical support for deployed systems, helping to resolve any performance or integration issues quickly.

Career Level - IC3