Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Engaged Employer

Oracle

Compare

3.7

based on 5.2k Reviews

Video summary

35 Oracle Senior Software Developer Jobs

Senior Software Developer

Oracle India Pvt. Ltd.

3.7

based on 5.2k Reviews

6-10 years

₹ 10 - 35L/yr (AmbitionBox estimate)

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Senior Software Developer

Oracle

posted 1d ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Python Oracle Machine Learning C++ Data Structures and Algorithms

+ 2 more

Job Description

We are developing next-generation, AI-powered solutions focused on transforming surveillance and authentication systems. Our work is at the forefront of revolutionizing security by moving away from traditional password-based authentication in favor of cutting-edge biometric and AI-driven technologies. You will play a key role in designing and implementing solutions that enable real-time, intelligent analysis of surveillance camera feeds, enhancing security systems with advanced features like facial recognition, behavior analysis. This is an exciting opportunity to contribute to a rapidly evolving field, where your innovations will drive the future of authentication and surveillance technologies, improving security on a global scale.

Qualifications :

Master s degree or equivalent experience (preferred) in Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Computer Vision, Operations Research, or a related field.
6+ years for Masters, or demonstrated experience in designing, implementing, and deploying machine learning models in production.
Practical experience designing and deploying distributed systems using microservices architecture and APIs with frameworks like Spring Boot (Java).
Experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes).
Knowledge of machine learning techniques, statistical models, and performance tuning.
Expertise in Java, Python, C++ .
Strong understanding of data structures, algorithms, and problem-solving skills

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.