11+ XSD Jobs in Mumbai | XSD Job openings in Mumbai

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 position: Analyst programmer 

Location: Mumbai - Andheri East

Salary: 12-13LPA (negotiable)

EXPERIENCE: 3+ years 

Experience in Winforms mandatory

Qualifications:

 Bachelor’s degree in Computer Science, Information Technology, or a related field.

 Proven experience as an Analyst Programmer or similar role.

 Proficiency in programming languages such as C#, Asp.net, Winform etc.

 Strong understanding of software development methodologies (e.g., Agile, Waterfall).

 Experience with database management systems SQL Server.

 Excellent analytical and problem-solving skills.

 Strong communication and interpersonal skills

🚨 Mega Walk-In Drive – 50+ Openings at VIP India (Telesales)

📅 Date: Friday, 18th July 2025

⏰ Time: 11:00 AM – 4:00 PM

💼 Position: VIP Product Counsellor (Domestic Telesales)

🔍 Requirements:

• Minimum 6 months experience in Telesales or Collections
• Fluent in any regional language + basic English
• (Languages preferred: Punjabi, Tamil, Telugu, Kannada, Bengali, Gujarati, Malayalam)

💰 Compensation:

• ₹25,000 – ₹30,000 In-Hand Salary
• Unlimited Incentives
• Linguistic Role: Up to ₹35,000 In-Hand

We are looking for enthusiastic, customer-oriented individuals to join our team as Customer Relations Executives (CREs). This role is perfect for freshers who are eager to learn and build a career in the customer service industry. You will be responsible for handling customer interactions, providing assistance, and ensuring a seamless experience.

T&C Apply

Job description

Ensure effective Design, Development, Validation and Support activities in line with client needs and architectural requirements

Design, develop and implement new templates, components, and responsive web pages/sites in Sitecore to support the expansion of the core Sitecore platform

Carry out the development of the assigned project adhering to the engineering standards/best practices, committing to the agreed timeline, and ensures quality metrics are met

Diagnose and solve common problems related to Sitecore implementation

Provide consulting and technical guidance to the Digital Production Team including System Integrators/Service Providers on the Sitecore CMS platform

Responsiblity-

4+ years of industry experience in developing web based applications using ASP.NET/C#, MVC

Bachelors of Computer Science or a related field is required

Extensive experience with Web Services (SOAP/REST) architecture

Knowledge of Sitecore Templates, Layouts, Components, Dynamic Bindings, Sitecore API, Rendering

Experience with serialization tools such as TDS (Team Development for Sitecore) or Unicorn

Proficient in JavaScript, XML, XSL, XSLT, XHTML

Proficient in integration patterns with a Lucene, Search, Commerce package, Payment Gateways or other platforms

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

• Lead the end-to-end product lifecycle, from conceptualization to delivery, for next-gen AI solutions on our codeless platform
• Collaborate closely with cross-functional teams, including engineering, design, and marketing, to define product requirements and roadmap.
• Conduct market research and analysis to identify emerging trends, customer needs, and competitive landscape in the AI and software industry.
• Prioritize features and enhancements based on business objectives, user feedback, and technical feasibility.
• Track and analyze key performance indicators (KPIs) to measure product success and iterate on strategies for continuous improvement.
• Act as a subject matter expert for the product, providing guidance and support to internal teams and external stakeholders.
• Assist in the identification and implementation of process improvements to optimize project delivery and efficiency.
• Communicate project progress, findings, and recommendations to stakeholders through reports, presentations, and meetings.
• Work closely with mentors and senior team members to enhance technical skills and knowledge in AI and software development.

Designation: Senior Software Engineer

Years of experience: Minimum 5 years of relevant experience

Skills: 5+ years of hands on experience in Angular 6/7/8/9 (mandatory). Experience also in Angularjs is preferred but not mandatory.

• Design and develop cloud native enterprise applications as per the strategic application roadmap of DSP
• Ensure strict adherence to code quality, coding standards and overall deliverable quality as per the defined standards
• Write automated unit and integration tests to ensure defect free code
• Learn and develop proof of concepts with newer technologies when required