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Hardware person need to know
- Latest and old Windows Operating System
- Linux(ubuntu, centos, others) Operating System
- Installation of windows and Linux operating system
- Networking knowledge
- LAN, Router, Switch configuration and installation
- Knowledge of computer hardware as like RAM, HardDisk, Motherboard, SMPS, and other parts
- Knowledge of repairing and replacing of hardware of both desktop and laptop
- knowledge of installation of different software for both Linux and Windows operating system
The Knowledge Graph Architect is responsible for designing, developing, and implementing knowledge graph technologies to enhance organizational data understanding and decision-making capabilities. This role involves collaborating with data scientists, engineers, and business stakeholders to integrate complex data into accessible and insightful knowledge graphs.
Work you’ll do
1. Design and develop scalable and efficient knowledge graph architectures.
2. Implement knowledge graph integration with existing data systems and business processes.
3. Lead the ontology design, data modeling, and schema development for knowledge representation.
4. Collaborate with IT and business units to understand data needs and deliver comprehensive knowledge graph solutions.
5. Manage the lifecycle of knowledge graph data, including quality, consistency, and updates.
6. Provide expertise in semantic technologies and machine learning to enhance data interconnectivity and retrieval.
7. Develop and maintain documentation and specifications for system architectures and designs.
8. Stay updated with the latest industry trends in knowledge graph technologies and data management.
The Team
Innovation & Technology anticipates how technology will shape the future and begins building future capabilities and practices today. I&T drives the Ideation, Incubation and scale of hybrid businesses and tech enabled offerings at prioritized offering portfolio and industry interactions.
It drives cultural and capability transformation from solely services – based businesses to hybrid businesses. While others bet on the future, I&T builds it with you.
I&T encompasses many teams—dreamers, designers, builders—and partners with the business to bring a unique POV to deliver services and products for clients.
Qualifications and Experience
Required:
1. Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
2. 6-10 years of professional experience in data engineering with Proven experience in designing and implementing knowledge graph systems.
3. Strong understanding of semantic web technologies (RDF, SPARQL, GraphQL,OWL, etc.).
4. Experience with graph databases such as Neo4j, Amazon Neptune, or others.
5. Proficiency in programming languages relevant to data management (e.g., Python, Java, Javascript).
6. Excellent analytical and problem-solving abilities.
7. Strong communication and collaboration skills to work effectively across teams.
Preferred:
1. Experience with machine learning and natural language processing.
2. Experience with Industry 4.0 technologies and principles
3. Prior exposure to cloud platforms and services like AWS, Azure, or Google Cloud.
4. Experience with containerization technologies like Docker and Kubernetes
A Concise Glimpse into the Role
We’re on the hunt for young, energetic, and hustling talent ready to bring fresh ideas and unstoppable drive to the table.
This isn’t just another role—it’s a launchpad for change-makers. If you’re driven to disrupt, innovate, and challenge the norm, we want you to make your mark with us.
Are you ready to redefine the future?
Apply now and step into a career where your ideas power the impossible!
Your Time Will Be Invested In
· AI/ML Model Innovation and Research
· Are you ready to lead transformative projects at the cutting edge of AI and machine learning? We're looking for a visionary mind with a passion for building ground breaking solutions that redefine the possible.
What You'll Own
Pioneering AI/ML Model Innovation
· Take ownership of designing, developing, and deploying sophisticated AI and ML models that push boundaries.
· Spearhead the creation of generative AI applications that revolutionize real-world experiences.
· Drive end-to-end implementation of AI-driven products with a focus on measurable impact.
Data Engineering and Advanced Development
· Architect robust pipelines for data collection, pre-processing, and analysis, ensuring precision at every stage.
· Deliver clean, scalable, and high-performance Python code that empowers our AI systems to excel.
Trailblazing Research and Strategic Collaboration
· Dive into the latest research to stay ahead of AI/ML trends, identifying opportunities to integrate state-of-the-art techniques.
· Foster innovation by brainstorming with a dynamic team to conceptualize novel AI solutions.
· Elevate the team's expertise by preparing insightful technical documentation and presenting actionable findings.
What We Want You to Have
· 1-2 years' experience with live AI project experience, from conceptualization to real-world deployment.
· Foundational knowledge in AI, ML, and generative AI applications.
· Proficient in Python and familiar with libraries like TensorFlow, PyTorch, Scikit-learn.
· Experience working with structured & unstructured data, as well as predictive analytics.
· Basic understanding of Deep Learning Techniques.
· Knowledge of AutoGen for building scalable multi-agent AI systems & familiarity with LangChain or similar frameworks for building AI Agents.
· Knowledge of using AI tools like VS Copilot.
· Proficient in working with vector databases for managing and retrieving data.
· Understanding of AI/ML deployment tools such as Docker, Kubernetes.
· Understanding JavaScript, TypeScript with React and Tailwind.
· Proficiency in Prompt Engineering for various use cases, including content generation and data extraction.
· Ability to work independently and as part of a collaborative team.
· Excellent communication skills and a strong willingness to learn.
Nice to Have
· Prior project or coursework experience in AI/ML.
· Background in Big Data technologies (Spark, Hadoop, Databricks).
· Experience with containerization and deployment tools.
· Proficiency in SQL & NoSQL databases.
· Familiarity with Data Visualization tools (e.g., Matplotlib, Seaborn).
Soft Skills
· Strong problem-solving and analytical capabilities.
· Excellent teamwork and interpersonal communication.
· Ability to thrive in a fast-paced and innovation-driven environment.
Architect, develop and maintain highly scalable, reliable and secure distributed backend
systems on Cloud (AWS or Azure) or on-premises environments for its customers
and partners.
Work closely with your fellow engineers to develop systems capable of concurrently
processing massive amounts of voice data both in online real-time as well as offline
environments.
Drive accountability for test driven development, delivery of high-quality features and
resilient enterprise class solutions.
Lead a culture of team ownership and direct individual and team accountability to
continuously improve how they work to achieve results.
Work in a startup environment, pushing boundaries with deep involvement with business.
Requirements (what we are looking for)
The right person is better than the right set of experiences and these are the traits we’ve
identified make great additions to our team.
BE//BTech/ME/MTech in Computer Science or a related field from a Tier I or Tier II
University.
6-8 years of hands-on software development and deployment experience (experience of
working in a consumer product startup during its growth phase will be a plus) of which 1 – 2
years of experience would be in leading a team of software developers.
Expertise in Java 8+ and Spring Boot is a must
Good experience in messaging platforms like RabbitMQ/Kafka
Good experience in distributed systems and relational & NoSQL databases like PostgreSQL,
MySQL, Redis, MongoDB, etc.
Expertise in one or more of: Python, NodeJS, GoLang would be preferred
Must have hands on experience in products which handle multiple concurrent calls (API),
handle CPU intensive jobs, consist of multiple asynchronous system calls.
Worked on microservices based architecture and design
Managed/ Owned infrastructure on AWS/Microsoft Azure/private clouds and setup high
availability systems
Knowledge of Docker and Kubernetes
Knowledge of RESTful APIs, caching concepts, the HTTP protocol and general web
architecture

• Contacting clients in regarding their Online appearance and business boosting.
• Good Command over English.
• Develop and Maintain proper interaction and reputation with the clients
• Understand the business needs of the Clients
• Convince the clients and make them to invest on new Projects with the organization
• Outbound Voice process
• B2B Sales Process
• Experience- 0 to 3 years required in web selling or in outbound sales process.
• Salary hike on last drawn salary
• Shift: Night: 8pm to 5am Morning: 7am to 4pm
Responsibilities and Duties
- Can work on live projects of international clients.
- Can handle multiple projects
- Error-free coding.
Requirements
- Minimum 3 Years of Experience.
- Extremely fluent in Database performance and tuning
- Knowledge in Web API
- Knowledge in Payment Gateway Integration
- Knowledge in Angular JS
- Good analytical, logic building and problem-solving skills
- Proper Reporting & Documentation
- Experience with Microsoft .NET technologies including, ASP.NET, MVC, Entity Framework
- Proven Skills with C#, SQL JavaScript/HTML, HTML-CSS, AJAX, jQuery, Web Services, etc.
- Excellent research capability.
- Hands-on development and optimization of image enhancing algorithms for image processing using computational imaging
- Working with peer teams on researching and resolving complex software and system problems
- Analvze and optimize different methodologies to improve output of image processing
- Work closely with Quality Assurance teams to refine algorithms for optimal system performance
- Support products from the early development and prototyping phases through to production
- Developing functional specifications per customer requirements
- Good understanding of image processing techniques such as edge detection skills, image alignment, removing noise, image segmentation, correction/modification, compression, and image reconstruction
IT experience in analysis, design, development, documentation, implementing, and testing of software systems in Java, Spring Boot, Hibernate, and Internet technologies.
- Spring Boot includes real-world experience working with Microservices Architecture, Plugin Services.
- Strong experience in Spring Frameworks such as Spring MVC, IOC, AOP, and Spring JDBC.
- Strong knowledge of the DevOps, AWS Environment, Code Versioning - Strong hands-on experience with Spring IO, Spring Boot with Thyme leaf.
- Experience in implementing Java EE design patterns such as MVC, Singleton, Session Façade, DAO, DTO, and Business Delegate in the development of Multi-Tier distributed Enterprise Applications.
- Good experience in developing Web Services SOAP, JAX-WS, WSDL.
- Experience in core Java-Multithreading, collections, Servlets and JDBC.
- Strong knowledge on RDBMS concepts and broadly worked Postgres, MySQL technologies such as MongoDB
- Experience in designing front-end technologies like ReactJS will be an add-on
- Hands-on experience with build and deployment tools including Ant / Maven, logging and Debugging using Slf4 and Log4j, and unit and integration testing using JUnit.
- Experience with Use-Case design, Class, and Sequence diagrams using UML.
- Excellent team player with good analytical, strategic planning, and interpersonal and communication skills. Highly motivated, enthusiastic, and self-starter.
Familiarity with RESTful APIs to connect Android applications to back-end services.
Strong knowledge of Android UI design principles, patterns, and best practices.
Experience with offline storage, threading, and performance tuning.
Ability to design applications around natural user interfaces, such as “touch”.
Familiarity with the use of additional sensors, such as gyroscopes and accelerometers.
Content Writer
Roles & Responsibility:
To write on a variety of topics related to education and courses offered by the colleges and institutions in India and educational news and updates etc.
Knowledge of writing articles, blog posts, descriptions, page titles etc. for digital media.
Create content which gives website readers access to information in a simple, easy to understand language.
The content writer should know the target audience and write content to engage and draw visitors.
Generate content, making smart use of keywords. The text should have relevant keywords and variations for better search engine ranking and indexing.
Creating stories from in-house reports/surveys monthly.
Developing new ideas for web content.
Work with team members to enhance content pieces.
Desired Profile
Freshers with impressive writing skills are welcome.
As a web content writer, the ability to write engaging content for websites.
Knowledge in writing content for websites/print/company blogs.
Good written and communication skills.
Awareness of Search Engine Optimization (SEO), internet marketing trends is a plus.
Excellent time management skills.
Personal Traits:
Excellent written and oral communication skills.
Excellent problem-solving skills.
Should be excellent in Time Management, Planning Skills & Organizing Skills.





