Full-Time

Software Developer 4

Oracle

Oracle

10,001+ employees

Enterprise software and cloud computing provider

No salary listed

Bengaluru, Karnataka, India

In Person

Category
AI & Machine Learning (2)
,
Requirements
  • 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.
  • 10+ years for PhD or equivalent experience, 12+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments.
  • Practical experience in design/Architect, 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/Pyhton(Java preferred).
  • Expert in at least one scripting language such as Python, Javascript, and Shell (Python preferred).
  • Deep understanding of System Design, Archietecture 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.
Responsibilities
  • Design / 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.
Desired Qualifications
  • Experience with Cloud Native Frameworks tools and products is a plus
  • Experience in NLP/Vision tasks like Sentiment Analysis, Entity detection , Text Extraction, 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

Oracle provides enterprise software and cloud services, including database management, middleware, applications, and developer tools. Its core product is the Oracle Database, a relational database that stores and retrieves data using SQL; customers can run it on premises or in the Oracle Cloud, and they can use accompanying tools for data analytics, security, and integration. Oracle also offers a broad suite of applications (like ERP, HR, and health IT) and a cloud platform to build, deploy, and manage software. The company differentiates itself through a long history and large, integrated portfolio that connects database technology with applications, middleware, hardware, and cloud services, plus a track record of major acquisitions that broaden its scope. Its goal is to help organizations store, manage, and analyze data at scale, automate business processes, and run software in a unified, multi-environment cloud and on-premises setup.

Company Size

10,001+

Company Stage

IPO

Headquarters

Austin, Texas

Founded

1977

Simplify Jobs

Simplify's Take

What believers are saying

  • Cloud infrastructure revenue grew 84% YoY; enterprise demand independent of OpenAI.
  • NAND flash capacity sold out; 70-75% price increases benefit data centre expansion.
  • IHH Healthcare consolidates 190 facilities onto Oracle platform; signals strong adoption.

What critics are saying

  • Cerner VA contract failures cause $33B overruns; contract termination erodes $10B revenue.
  • OpenAI partnership falters on missed targets; $300B deal faces renegotiation or cancellation.
  • $124.7B debt and negative free cash flow strain finances if growth slows.

What makes Oracle unique

  • Oracle's $553B backlog provides unmatched revenue visibility for AI infrastructure services.
  • Embedded AI agents in Fusion Cloud workflows automate enterprise processes at scale.
  • Healthcare board expertise positions Oracle to capture regulated industry digital transformation.

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Benefits

401(k) Savings and Investment Plan with company match

Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

11 paid holidays

Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance

Company News

PR Newswire
Apr 14th, 2026
Oracle extends agentic AI platform to corporate banking with automated agents

Oracle Financial Services has launched new agentic AI capabilities for corporate banking, introducing pre-built AI agents for treasury, trade finance, credit and lending operations. The platform aims to automate mission-critical processes and accelerate decision-making for financial institutions and corporate banks. Key innovations include AI agents that extract and validate data from lengthy loan contracts, pull financial metrics from statements, monitor external news sources for risk signals, and generate credit memo narratives. For trade finance, agents validate bank guarantee applications and create supply chain finance programmes from sales contracts. The enhancements are part of Oracle's next-generation banking platform, which embeds AI directly into customer engagements and business processes whilst maintaining human oversight. Oracle plans to release hundreds of additional corporate and retail banking agents within the next 12 months.

PR Newswire
Apr 14th, 2026
Oracle enhances Primavera Unifier with AI-driven workflows and compliance features for capital projects

Oracle has launched AI-enabled capabilities in its Primavera Unifier platform to help project and asset management teams improve compliance and efficiency in capital projects. The new features include AI-driven workflow summarisation, enhanced data integration, and improved safety monitoring. The updates enable teams to prioritise critical activities through AI-powered business process summaries that provide structured chronologies of project progress, including participant details, timestamps and decisions. Enhanced Oracle Integration capabilities allow real-time data automation across enterprise systems with audit trails. Additional features include no-code process design tools, dashboards for performance tracking, and safety monitoring through Oracle Construction and Engineering Advisor. The platform aims to support high-compliance projects in regulated environments such as federal programmes and aerospace.

Yahoo Finance
Apr 14th, 2026
SMRT pilots Oracle AI platform to enhance rail maintenance for 2M daily passengers

SMRT, Singapore's leading public transportation provider, is piloting an AI-enabled rail maintenance platform called JARVIS using Oracle Cloud Infrastructure Enterprise AI and Oracle Autonomous AI Database. The platform aims to improve safety and reliability for the rail network, which handles over two million passenger journeys daily. Developed by STRIDES Technologies, SMRT's engineering arm, JARVIS unifies data from multiple standalone systems and applies AI for predictive maintenance and faster fault resolution. The platform uses machine learning through a generative AI chatbot interface, enabling maintenance teams to access real-time analytics and engineering insights via natural language. Built on Oracle Autonomous AI Database, JARVIS consolidates maintenance and condition monitoring data, including train performance, sensor readings and asset lifecycle information. The Oracle AI Customer Excellence Center supported the platform's development and validation.

Tech in Asia
Apr 14th, 2026
Oracle, Adobe rally as AI peace hopes lift battered software sector down 23% YTD

Software stocks rallied on hopes for a US-China trade deal, with Oracle and Adobe leading gains. However, the sector remains under pressure this year amid fears that AI tools from OpenAI and Anthropic could enable customers to build software faster and potentially displace vendors. The iShares Expanded Tech-Software Sector ETF is down over 23% year-to-date, with average sales multiples falling from 9x to 6x. A record $25 billion in software-sector leveraged loans now trade at distressed levels, raising concerns about private credit markets where the sector is a major borrower. Some firms are monetising AI successfully — ServiceNow's Now Assist product reached $600 million in annual contract value in Q4 2025. Yet deteriorating valuations could trigger a credit crisis through "shadow defaults" and forced fund withdrawals, with potential spillover to banks increasingly exposed to private credit.

Bloomberg L.P.
Apr 13th, 2026
Oracle secures 2.8GW Bloom Energy fuel-cell power for AI data centres

Oracle has agreed to purchase up to 2.8 gigawatts of fuel-cell power from Bloom Energy to supply data centres for artificial intelligence work. An initial 1.2 gigawatts of capacity has been contracted and will be deployed this year and in 2027 at Oracle projects in the US. A gigawatt provides enough electricity to supply approximately 750,000 US households simultaneously. The deal represents a significant commitment to powering AI infrastructure through fuel-cell technology as demand for data centre capacity continues to grow.