11+ Adobe LiveCycle Jobs in Hyderabad | Adobe LiveCycle Job openings in Hyderabad

AEM Forms Developer would need to have at least 3 years of experience.

3 plus years of experience in application development.

2 years of experience with AEM Forms 6.4/6.5, Adobe LiveCycle ES 2, 3 or 4 Or Adobe AEM Forms focusing on LiveCycle Designer, LiveCycle Workbench, LiveCycle Admin Console.

Experience and working knowledge of designing forms and rules in AEM Forms Designer.

Experience in projects on Dynamic Assembly of PDFs using DDX, Manipulation of PDF using DDX, calling APIs of Output and Assembler service (using Java SDK) Hands on Application Development experience (Workflow in AEM Forms, Output, Reader Extensions, Process Management etc).

Solid knowledge and expertise in JavaScript, Java, REST API, JSON, XSD, XML,PDF, Database - Strong communications skills to effectively communicate at different levels of management.

Experience on adaptive form designs, interactive communication,creating templates and automated workflows.

Job Title: State Sales Head – Dealer Development

Job Type: Full-Time | Hybrid (Office & Field Work)

Role Overview

State Sales Head – Dealer Development to drive state-level sales growth and franchise expansion. The role focuses on building and managing a high-performing sales structure through Area Sales Managers (ASMs) while expanding Management Role Franchises and Shop Franchises across the state.

The ideal candidate will be a strong leader with proven experience in FMCG, Retail, Cement, Paint, or Franchise-based businesses, capable of executing aggressive growth strategies and maintaining long-term franchise relationships.

Key Responsibilities

• Appoint, train, guide, and monitor Area Sales Managers to achieve state-level sales objectives
• Lead recruitment and expansion of Management Role Franchises and Shop Franchises
• Drive achievement of monthly, quarterly, and annual revenue targets
• Build and maintain strong relationships with franchise partners to maximize business potential
• Design and execute strategies for franchise growth, support, and market penetration
• Monitor ASM and franchise performance using KRAs & KPIs
• Provide regular sales reports, market insights, and competitor feedback to senior management
• Proactively resolve franchise and operational issues
• Ensure strict adherence to company policies, ethical standards, and compliance norms

Key Performance Indicators (KPIs)

• Achievement of revenue targets (Monthly / Quarterly / Annual)
• Number of new Management Role & Shop Franchises onboarded
• Performance and productivity of Area Sales Managers
• Franchise satisfaction and retention rate
• Growth in state-wide market penetration and brand visibility

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Business Administration, Marketing, or a related field
• 7–10 years of proven sales leadership experience
• (Preferred industries: FMCG, Retail, Cement, Paint, Franchise Business)
• Strong people management and leadership capabilities
• Proven track record of achieving and exceeding sales targets
• Excellent communication, negotiation, and relationship management skills
• Entrepreneurial mindset with strong problem-solving abilities
• Willingness to travel extensively within the state

Communication - Excellent communication, presentation, and negotiation skills

Role: Application Developer Role Description: Design, build and configure applications to meet business process and application requirements. 

Must have Skills: Oracle Project Portfolio Management Cloud, Oracle Fusion PPM Cloud, Project Fundamentals Cloud

Good to Have Skills: Oracle Financials, Grants 

Job Requirements: 1: Responsibilities: 

a: All tasks related to configurations, data import, data export and 

customizations of Oracle PPM Cloud Project Fundamentals, Projects Costing, Projects Billing, Project Accounting 

b: Consultant is responsible for gathering and analyzing business requirements. 

c: Consultant may have to interact with the clients to better understand the product requirements or in case the design requires any kind of modifications. 

d: Experience in analysis of source data in data migrations and report the same and able to create test plans based on analysis. 

e: Experience and demonstrated proficiency with QA methodology, process, and deliverables. 

2: Professional Experience:

a: Must have 4-7 years Cloud PPM experience/2 to 3 end to end implementation experience. 

b: Should be strong on Oracle Project Accounting Project Costing, Project Billing Project Management under cloud environment. 

c: Strong understanding of Projects functional flows 

Good knowledge of PL/SQL for data querying & analysis 

An Interior Design Executive is a sales professional who generates leads, qualifies customers, and closes sales for interior design services primarily through phone and digital communication. This role involves understanding customer requirements, providing company and product information, building rapport, and coordinating with sales and design teams. Key responsibilities include lead generation, client engagement, and CRM maintenance, often requiring experience in sales, especially within the interior design or related fields.

Core responsibilities

Lead generation: Proactively making outbound calls and responding to inbound inquiries to identify and qualify potential clients.

Client engagement: Acting as the first point of contact, understanding client needs, and providing detailed information about design services and pricing.

Sales support: Collaborating with interior designers and sales teams to develop solutions and present proposals to clients.

Customer relationship management: Maintaining detailed lead data in a CRM system and ensuring timely follow-ups.

Internal coordination: Working with other teams to address customer requests and provide feedback on marketing efforts.

Required qualifications

Experience: Previous experience in sales, particularly telesales or inside sales, is often required. Experience in the interior design, real estate, or modular furniture industries is preferred.

Skills: Strong communication and interpersonal skills, the ability to build rapport, and a track record of achieving sales targets are essential.

Technical proficiency: Experience with Microsoft Office Suite (Excel, Word, PowerPoint) and CRM software is common.

Other: Some roles may require knowledge of interior design trends and concepts, though this is often a plus rather than a strict requirement.

Job Description:

As a Machine Learning Engineer, you will:

• Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
• Work closely with data scientists to optimize machine learning model performance.
• Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
• Collaborate with cross-functional teams to integrate AI models into products and services.

Responsibilities:

• Develop and deploy scalable machine learning models into production environments.
• Optimize models for performance and scalability.
• Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
• Monitor and maintain model performance in production.

Key Performance Indicators (KPI) For Role:

• Success in deploying scalable and efficient AI models into production.
• Improvement in model performance and scalability post-deployment.
• Efficiency in model deployment and maintenance processes.
• Positive feedback from team members and stakeholders on AI model integration and performance.
• Adherence to best practices in machine learning engineering and deployment.

Prior Experience Required:

• 2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
• Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
• Demonstrated ability to optimize machine learning models for performance and scalability.
• Familiarity with machine learning lifecycle management tools and practices.
• Experience in developing and maintaining scalable and robust AI systems.
• Knowledge of best practices in AI model testing, versioning, and deployment.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Employer:

RaptorX.ai

Location:

Hyderabad

Collaboration:

The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.

Salary:

Competitive, based on experience.

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written, is required.

Other Skills Required:

• Strong analytical and problem-solving skills.
• Proficiency in code versioning tools, such as Git.
• Ability to work in a fast-paced and evolving environment.
• Excellent teamwork and communication skills.
• Familiarity with agile development methodologies.
• Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.

Other Requirements:

• Proven track record of successfully deploying machine learning models into production.
• Ability to manage multiple projects simultaneously and meet deadlines.
• A portfolio showcasing successful AI/ML projects.

Founders and Leadership

RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.

We bring not just technical excellence, but also a relentless passion for innovation and impact.

The Market Opportunity

Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:

• Fintech and Banking
• E-commerce
• Payments

This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.

The Tech Space at RaptorX

We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.

Why You Should Join Us

1. Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
2. Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
3. Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
4. Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

• Specialized in architectural knowledge/experience in Tosca
• Hands on experience to support operational stuff on Tosca
• Needs to be an SME who will lead and guide rest of the resources on the project
• Needs to come up with solutions, strategic thoughts and efficiencies for Tosca implementation
• Willingness to find answers and resolutions
• Good Communications Skills 

• Design and development of automotive feature/function software/components (ACC, AEB, TSR, LKA etc.) for ADAS/AD systems
• Coordination and regular interaction with different stakeholders and teams like testing, requirements, leads etc.
• Participate in SW requirement generation, SW architecture, detailed design etc

• 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
• Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• 5+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

Responsibilities

• Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
• Create custom Operators for Kubernetes, Kubeflow
• Develop data ingestion processes and ETLs
• Assist in dev ops operations
• Design and Implement APIs
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices

1. Extensive experience in Javascript / NodeJS in the back end
2. Front end frameworks such as Bootstrap, Pug, Jquery
3. Experience in web frameworks like ExpressJS, Webpack
4. Experience in Nginx, Redis, Apache Kafka and MQTT
5. Experience with MongoDB
6. Experience with Version Control Systems like Git / Mercurial
7. Sound knowledge in Software engineering best practices
8. Sound knowledge in RestFul API Design
9. Working knowledge of Automated testing tools
10. Experience in maintaining production servers (Optional)
11. Experience with Azure DevOps (Optional)

1. Experience in digital payments or financial services industry is a plus.
2. Participation in the processes of strategic project-planning meetings.
3. Be involved and participate in the overall application lifecycle.
4. Collaborate with External Development Teams.
5. Define and communicate technical and design requirements, understanding workflows and write code as per requirements.
6. Develop functional and sustainable web applications with clean codes.
7. Focus on coding and debugging.