11+ Oracle CC&B Jobs in Chennai | Oracle CC&B Job openings in Chennai

Hiring for the Profile of Oracle Utility Functional Consultant for Bangalore,Chennai,Hyderabad on immediate basis

Job Description:

1.Conduct module specific requirement workshop, capture and align business requirement
2.Analyse the detailed interface requirement and identify individual interface touch points
3. Prepare module wise detailed fit/gap analysis and identify customization components
4. Prepare module specific Functional specification
5. Prepare module wise Configuration master sheet which translates the “Fit” items to the technology
6. Identify customization/extension requirement and communicate to Technical consultants
7. Support Technical Architect in preparing detailed technical specification for both customization and integration components
8. Configure the product as per the design worksheet and bring up the individual business process
9. Lead UAT for the module, and ensure smooth customer signoff
10. Prepare / Support T3 material and conduct T3.

Qualification:

8+ Years of Experience in Oracle Utilities Application Framework (OUAF)
2. Strong functional Experience on CIS Billing
3. Strong knowledge across OU components
4. Minimum 7+ years of experience as Architect for OU product suite (CC&B, MDM, C2M)
5. Minimum 4+ Years on experience in architecting and delivering OU CC&B/C2M
6. Atleast 2 full implementation experience of CC&B in Architecting OU Solutions
7. Strong techno product expertise on OU CC&B with thorough understanding of cross functionalities

Notice Period: 0-1 Month

Byteridge is seeking a Rapid Prototyping Engineer specializing in AI Infrastructure & Optimization to work with our most strategic customers on deploying, fine-tuning, and optimizing large language models at scale. You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in computer science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)

• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Key Responsibilities

• Develop new user-facing features using React.js and related libraries.
• Build reusable components and front-end libraries for future use.
• Translate designs and wireframes into high-quality, responsive code.
• Optimize components for maximum performance across a variety of web-capable devices and browsers.
• Collaborate with designers, product managers, and backend developers to deliver seamless user experiences.
• Debug and fix performance and UI issues.
• Write clean, maintainable, and testable code.
• Stay up-to-date with the latest trends and best practices in front-end development.

Required Skills & Qualifications

• Strong proficiency in JavaScript (ES6+), React.js, and Redux (or similar state management libraries).
• Experience with HTML5, CSS3, SASS, and responsive design principles.
• Familiarity with RESTful APIs and JSON.
• Understanding of Git and version control workflows.
• Knowledge of Webpack, Babel, or similar build tools.
• Good understanding of component-based architecture and front-end design patterns.
• Excellent problem-solving and debugging skills.
• Strong communication and teamwork abilities.

Preferred Qualifications (Nice to Have)

• Experience with TypeScript.
• Familiarity with Next.js, React Query, or React Router.
• Experience with Unit Testing frameworks (Jest, Enzyme, React Testing Library).
• Basic knowledge of Node.js or Express.js.
• Familiarity with CI/CD pipelines and DevOps tools.
• Exposure to Agile/Scrum methodologies.

 Hiring: IT Sales Executive 

📍 Location: Chennai

💼 Experience: 2+ Years in IT Sales 

⏳ Joining: Immediate to 30 Days

🔍 About the Role

We are looking for a highly driven IT Sales Executive with hands-on experience in Zoho products who is passionate about field sales and business development. The ideal candidate should have strong exposure to Zoho Creator and other Zoho applications and a proven ability to generate revenue.

🧠 Skills Required 

     🔹 Zoho Product Expertise

• Hands-on experience with Zoho Creator for building/customizing applications
• Strong understanding of Zoho CRM, Zoho Books, and other Zoho Suite applications
• Ability to explain Zoho solutions to clients and map them to business needs
• Experience in Zoho implementation, customization, or consulting is a big plus
• 
  
• 🔹 IT Sales & Business Development
• Proven experience in B2B IT sales (software / SaaS products preferred)
• Strong ability in lead generation, cold calling, and field prospecting
• Skilled in client acquisition and closing high-value deals
• Understanding of sales funnel, pipeline management, and conversion strategies
• 
  
• 🔹 Client Handling & Communication
• Excellent verbal and written communication skills
• Ability to confidently present demos and product walkthroughs
• Strong negotiation and objection-handling skills
• Capability to build long-term client relationships
• 
  
• 🔹 Field Sales & Execution
• Comfortable with field visits and face-to-face client meetings
• Strong time management and territory handling skills
• Self-driven and capable of working independently under targets
• 
  
• 💼 Key Responsibilities
• Generate new business opportunities through field sales and client visits
• Promote and sell Zoho products (especially Zoho Creator & Zoho Suite)
• Understand client requirements and provide customized solutions
• Build and maintain strong customer relationships
• Achieve and exceed sales targets and revenue goals
• Handle end-to-end sales cycle from lead generation to closure
• 
  
• ✅ Requirements
• 2+ years of experience in IT Sales (Zoho products preferred)
• Strong knowledge of Zoho Creator and Zoho applications
• Proven track record in business development & revenue generation
• Excellent communication and negotiation skills
• Willingness to do field sales
• Self-motivated and target-oriented mindset
• 
  
• 💰 Compensation & Benefits
• Attractive salary + performance-based incentives
• High-growth opportunity in IT sales
• Rewarding environment for top performers
• 
  

• Candidate should have strong knowledge of Javascript and HTML5 Canvas
• Should have knowledge of HTML5 Canvas Drawing Pad
• Experience in HTML5 Canvas is a must
• Thorough semantics-level understanding of HTML5 Canvas
• Good understanding of JavaScript programming and DOM manipulation
• Understanding and deployment of Responsive Web Design
• Understanding of how web design/dev is related to web Performance

• Candidate should be available to join immediately

Job Title: Engineering Manager

Job Location: Chennai, Bangalore
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.

• 6 - 10 years’ experience in Oracle EBS (Techno-Functional)
• Experience in implementation, Support, and upgrade projects
• Experience at least in 2 R12.2 upgrade projects.
• Experience in Oracle EBS R12.2.7 or Higher versions of R12.
• Strong knowledge in SQL/PLSQL, Reports, Forms, and workflow. OAF is added advantage.
• At least 40% functional knowledge in SCM and Manufacturing (Modules: PO, OM, INV, WIP, BOM, Quality and Engineering)
• Excellent verbal and written communication skills