Responsibilities: 1.Design detailed and comprehensive test cases for unit, smoke/sanity, black-box, integration, and regression testing TestNg Execute manual and automated test cases with accuracy and diligence. Document test results, identify issues, and log defects with precision. Follow up with development teams and track defect resolution to closure. Perform non-functional and UAT testing as per project needs. Create and maintain automated test scripts using Selenium WebDriver with Java. Utilize test data for data-driven testing and ensure parameterization and synchronization. Conduct debugging of test scripts and analyze test results for stability and reliability. Execute regression testing cycles and ensure readiness for releases. Report and track bugs using tools like Jira or any other defect management systems Keywords: Design detailed and comprehensive test cases for unit, smoke/sanity, black-box, integration, and regression testing TestNg Execute manual and automated test cases with accuracy and diligence. Document test results, identify issues, and log defects with precision. Follow up with development teams and track defect resolution to closure. Perform non-functional and UAT testing as per project needs. Create and maintain automated test scripts using Selenium WebDriver with Java. Utilize test data for data-driven testing and ensure. parameterization and synchronization. Conduct debugging of test scripts and analyze test results for stability and reliability Execute regression testing cycles and ensure readiness for releases. Report and track bugs using tools like Jira or any other defect management systems. Desired profile of the candidate * Hands-on experience with Selenium WebDriver and Java for test automation. Knowledge of test automation frameworks and functional libraries. Strong understanding of Selenium locators and XPath strategies. Experience with parameterization, test synchronization, and data-driven testing. Familiarity with debugging and interpreting test reports. Experience in test result analysis, test maintenance, and re-testing cycles. Proficiency in using defect tracking tools and executing end-to-end regression cycles.

Roles and Responsibilities Design and develop data science solutions using Python. Experience in machine learning and deep learning frameworks (PyTorch, TensorFlow) Develop machine learning models using TensorFlow or PyTorch and deploy them on Kubernetes, MLflow, and KServe clusters. Familiarity with machine learning deployment and MLOps tools Experience working with model repositories and fine-tuning frameworks like Hugging Face. Experience with frameworks like LangGraph/LangChain. Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning.

Roles and Responsibilities Manage accounts receivable, bookkeeping, MIS reporting, vendor payments, and internal collaborations. Perform month-end closing activities such as journal entries and adjustments. Provide support for audit queries and assist in preparing annual budgets. Vendor Payment Management: Process and manage vendor payments accurately and efficiently, ensuring timely disbursement and adherence to payment terms. This includes verifying invoices, obtaining necessary approvals, and processing payments through the appropriate channels. Management Information Systems (MIS) Reporting: Maintain and update MIS reports, providing accurate and timely financial data for management decision-making. This includes data collection, analysis, and report generation. Bookkeeping: Perform day-to-day bookkeeping tasks, ensuring accurate and up-to-date Financial records. This includes recording transactions, maintaining ledgers, and preparing financial statements.

Roles and Responsibilities Conduct cold calls, lead generation activities, and field marketing campaigns to generate leads. Create engaging presentations using MS Office tools to communicate with clients and stakeholders. Utilize business development skills to identify new opportunities and build relationships with potential customers. Reaching out to new customers and managing the entire project Presentable, well-mannered, good communicator, knowledge of basic MS Office tools

Role & responsibilities - Social Media Management: Plan, schedule, and manage content across platforms like Instagram, Facebook, LinkedIn, and YouTube. Paid Ads Execution - Run and optimize Meta Ads and Google Ads campaigns focused on lead generation and visibility. Content Creation: Design creatives using Canva and other visual platforms , aligned with each brand's voice and goals. SEO & Keyword Research: Support on-page SEO efforts and conduct keyword research to drive organic performance. Website Handling (WordPress): Update and manage WordPress website, including landing pages, plugins, a minor backend adjustments. Client & Cross-Team Coordination: Collaborate effectively with internal departments and communicate with clients to ensure seamless execution. Reporting & Analysis: Build detailed reports and presentations using MS Excel and PowerPoint to track campaign performance. Tool Adaptation: Should work comfortably with Microsoft 365 and CRM tools used internally for task and client management. Preferred candidate profile - Experience: 2-3 years in a digital marketing agency Skillset: Meta Ads & Google Ads campaign management Canva, Photoshop, or equivalent design platforms SEO knowledge and keyword tool proficiency WordPress content management Excellent English communication (written & verbal) Proficiency in MS Word, Excel, PowerPoint Familiarity with Microsoft 365 & CRM software Ability to handle multiple client projects and a dynamic mindset is a must. Traits: Detail-oriented, proactive, and adaptable Quick learner with a passion for marketing Professional grooming and confident presentation skills

Role & responsibilities: 1. Application Development: Develop and maintain web applications using ASP.Net MVC. Implement data access layers and business logic using Entity Framework and MSSQL. Develop RESTful WebAPIs to support seamless integration between client and server-side applications. 2. Database Management: Design and optimize database schemas, tables, stored procedures, and queries. Ensure the performance, reliability, and security of the MSSQL database. 3. API Development and Integration: Create and maintain RESTful APIs for internal and external system integrations. Ensure proper API documentation and versioning. 4. Code Quality and Standards: Write clean, maintainable, and reusable code adhering to best practices and coding standards. Conduct code reviews to ensure code quality and consistency. 5. System Design and Architecture: Collaborate with stakeholders to gather and analyze requirements. Design scalable and efficient application architectures to meet business needs. Testing and Debugging: Perform unit testing, integration testing, and debugging of applications. Troubleshoot and resolve issues in production and development environments. 7. Documentation and Collaboration: Create and maintain technical documentation for applications and APIs. Work closely with UI/UX designers, QA testers, and project managers to deliver cohesive solutions. 8. Performance Optimization: Optimize application and database performance to handle large datasets and high user loads. Identify and resolve bottlenecks in application and database performance Preferred candidate profile Technical Skills: Strong experience in ASP.Net MVC framework. Proficient in Entity Framework and code-first approaches. Expertise in MSSQL with hands-on experience in performance optimization. Experience in developing and consuming RESTful APIs. Knowledge of HTML5, CSS3, JavaScript, and front-end frameworks (e.g., Bootstrap, jQuery). 2. Tools and Technologies: Familiarity with version control systems such as SVN. Knowledge of Visual Studio (Community) IDE for development. Experience with Postman or similar tools for API development. 3. Additional Skills: Understanding of software development life cycle (SDLC) and agile methodologies. Ability to write unit tests using tools like NUnit or xUnit. Exposure to cloud platforms like Azure or AWS is a plus. 4. Education and Experience: Bachelor's degree in Computer Science or Information Technology.

Role & responsibilities CCTV Installation,Basic wiring,CCTV wiring,CCTV repair and Maintenance. Preferred candidate profile

Role & responsibilities Identify, generate, and qualify new leads through CRM systems, social media platforms, networking, and direct outreach Engage in cold calling, email campaigns, and in-person client visits to build a healthy sales pipeline Develop and present customized proposals, quotations, and solution demonstrations Conduct on-premise and virtual meetings to understand client requirements and recommend the right IT solutions Drive the complete sales cycle from lead generation to negotiation, closure, and contract signing Ensure timely follow-ups, payment recovery, and renewals for sold solutions Collaborate with technical teams, pre-sales, and delivery to ensure smooth execution of client projects Maintain accurate records of leads, prospects, opportunities, and sales activities using CRM tools (Zoho / Salesforce / equivalent) Meet and exceed monthly, quarterly, and annual sales targets Preferred candidate profile 35 years of proven experience in selling IT solutions and services in B2B or enterprise environments Experience in lead generation, cold calling, proposal writing, and contract negotiations Strong knowledge of CRM tools (e.g., Zoho, Salesforce) and digital sales channels Ability to sell solutions like Virtual Desktops (Citrix/Accops), Data Backup (Veeam/Carbonite), Cloud, CRM/ERP (Zoho/Odoo), Cybersecurity Excellent communication, presentation, and client relationship-building skills Strong negotiation and closing abilities Ability to travel locally for client meetings as needed Comfortable working in a target-driven, high-performance environment

Role & responsibilities Design and implement AI agent workflows. Develop end-to-end intelligent pipelines and multi-agent systems (e.g., LangGraph/LangChain workflows) that coordinate multiple LLM-powered agents to solve complex tasks. Create graph-based or state-machine architectures for AI agents, chaining prompts and tools as needed. Build and fine-tune generative models. Develop, train, and fine-tune advanced generative models (transformers, diffusion models, VAEs, GANs, etc.) on domain-specific data. Deploy and optimize foundation models (such as GPT, LLaMA, Mistral) in production, adapting them to our use cases through prompt engineering and supervised fine-tuning. Develop data pipelines. Build robust data collection, preprocessing, and synthetic data generation pipelines to feed training and inference workflows. Implement data cleansing, annotation, and augmentation processes to ensure high-quality inputs for model training and evaluation. Implement LLM-based agents and automation. Integrate generative AI agents (e.g., chatbots, AI copilots, content generators) into business processes to automate data processing and decision-making tasks. Use Retrieval-Augmented Generation (RAG) pipelines and external knowledge sources to enhance agent capabilities. Leverage multimodal inputs when applicable. Optimize performance and safety. Continuously evaluate and improve model/system performance. Use GenAI-specific benchmarks and metrics (e.g., BLEU, ROUGE, TruthfulQA) to assess results, and iterate to optimize accuracy, latency, and resource efficiency. Implement safeguards and monitoring to mitigate issues like bias, hallucination, or inappropriate outputs. Collaborate and document. Work closely with product managers, engineers, and other stakeholders to gather requirements and integrate AI solutions into production systems. Document data workflows, model architectures, and experimentation results. Maintain code and tooling (prompt libraries, model registries) to ensure reproducibility and knowledge sharing. Education: Bachelors or Master’s degree in Computer Science, Data Science, Artificial Intelligence. Programming proficiency: Expert-level skills in Python experience in machine learning and deep learning frameworks (PyTorch, TensorFlow). Generative model expertise: Demonstrated ability to build, fine-tune, and deploy large-scale generative models Familiarity with transformer architectures and generative techniques (LLMs, diffusion models, GANs) Experience working with model repositories and fine-tuning frameworks (Hugging Face, etc.). LLM and agent frameworks: Strong understanding of LLM-based systems and agent-oriented AI patterns. Experience with frameworks like LangGraph/LangChain or similar multi-agent platforms. AI integration and MLOps: Experience integrating AI components with existing systems via APIs and services. . Proficiency in retrieval-augmented generation (RAG) setups, vector databases,Familiarity with machine learning deployment and MLOps tools (Docker, Kubernetes, MLflow, KServe, etc.) Familiarity with GenAI tools: Hands-on experience with state-of-the-art GenAI models and APIs (OpenAI GPT, Anthropic, Claude, etc.) and with popular libraries (Hugging Face Transformers, LangChain, etc.). Awareness of the current GenAI tooling ecosystem and best practices.

Basic to intermediate knowledge of SEO (on-page, off-page, technical SEO) Experience with SEO tools like Google Analytics, Search Console, SEMrush, Ahrefs, etc. Hands-on experience managing social media platforms (Facebook, Instagram, LinkedIn, X) Strong communication and copywriting skills Ability to multitask and work in a fast-paced environment