Principal Engineer

2 weeks ago

Bengaluru, Karnataka, India Oracle Full time

Oracle Cloud Infrastructure (OCI) is a strategic focal point for Oracle, offering comprehensive cloud services across IaaS, PaaS, and SaaS.

As part of OCI's Gen2, we're creating the future-ready Cloud AI Service, a suite of ML-powered services to modernize enterprises.

These services seamlessly integrate with existing OCI offerings, enabling easy AI integration without AI expertise.

Join us to craft the future of Machine Learning by building AI Cloud services that address key gaps in Decision Support, NLP, Vision, and Conversational AI for public clouds and enterprises.

Collaborate on challenging AI-cloud intersections, designing scalable infrastructure, and developing AI core services while utilizing modern technologies like Java, Python, Kubernetes, and more.

Be a driving force in this dynamic growth journey, contributing to a cutting-edge AI experience on Oracle Cloud

"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 blaze the trail 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 AI Cloud service.

We are addressing exciting challenges at the intersection of artificial intelligence and cutting-edge 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 DoDevelop scalable infrastructure, including microservices and backend, that automates training and deployment of ML models.
Building core of Artificial Intelligence and AI Service 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 address external and internal shareholder's 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), Big Data, Hadoop, HBase, Spark, etc.
Leverage Cloud technology – Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology.

QualificationsMaster's degree (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field.5+ years for PhD, 8+ years for Masters, or 12+ years of Experience 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, 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 plusExperience 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 plusHands-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?

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