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Principal Software Engineer

3 months ago

Bengaluru, Karnataka, India Oracle Full time

Role: - Principal Engineer (Java)

Exp required yrs

Location - Bangalore

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 leveraging 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 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 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), Big Data, Hadoop, HBase, Spark, etc.

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

Qualifications

Master'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, 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.