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MBA in HR or related field required
5-10 years of experience in a human resource generalist role
Knowledge of conducting upskilling, training, and team building programs
Team handling skills and experience are preffered.
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
WHAT YOU'LL WORK ON
- Design and implement scalable APIs and microservices using Node.js & Express
- Manage deployments via GitHub Actions and CodeDeploy; work with Docker & AWS
- Optimize MongoDB queries and use Redis caching for high-concurrency traffic
- Bridge Figma designs to backend logic using Next.js and Tailwind CSS
- Maintain monitoring with Nginx & PM2 to ensure 99.9% uptime
WHAT WE'RE LOOKING FOR
- 1+ year of professional experience building and maintaining production applications
- Deep Node.js knowledge: async programming, RESTful API architecture
- MongoDB mastery: schema design, indexing strategies, complex aggregation pipelines
- Hands-on AWS (EC2/S3 minimum) and practical CI/CD pipeline experience
- Proven ability to take a feature from PRD / Figma to stable production deployment
WHAT WILL MAKE YOU STAND OUT
- Experience maintaining apps with high concurrent user counts
- Comfortable with Nginx configs and Dockerfiles
- Hands-on with payment gateway integration (Cashfree) and webhook handling
- Obsession with maintainable, well-documented, DRY code
AI Usage Policy:
AI tools (Cursor, Copilot, GPT-4) are force multipliers — use them. But you must own your code, reason hrough architectural trade-offs, and debug without relying solely on AI.
HOW TO APPLY:
- Tell us about the most complex bug you've solved or a backend system you built from scratch
- Share your GitHub profile
- Include at least two live project links showcasing your best work
- Your code will directly impact the learning outcomes of thousands of students.
Looking for technically skilled candidates with excellent interpersonal skills for the technical support position. Technical support officers troubleshoot technical issues, provide timely customer feedback, and support the roll-out of new applications, among other duties.
Moreover, technical support officers need to talk to customers directly, as well as create written documentation, requiring excellent written and verbal communication.
Responsibilities:
- Identifying hardware and software solutions.
- Troubleshooting technical issues.
- Diagnosing and repairing faults.
- Resolving network issues.
- Installing and configuring hardware and software.
- Speaking to customers to quickly get to the root of their problem.
- Providing timely and accurate customer feedback.
- Talking customers through a series of actions to resolve a problem.
- Following up with clients to ensure the problem is resolved.
- Replacing or repairing the necessary parts.
- Supporting the roll-out of new applications.
- Providing support in the form of procedural documentation.
- Managing multiple cases at one time.
- Testing and evaluating new technologies.
- Conducting electrical safety checks on equipment.
Requirements:
- Degree in computer science or information technology.
- Certification in Microsoft, Linux, or Cisco is advantageous.
- Prior experience in tech support, desktop support, or a similar role.
- Proficiency in Windows/Linux/Mac OS.
- Experience with remote desktop applications and help desk software.
- Attention to detail and good problem-solving skills.
- Excellent interpersonal skills.
- Good written and verbal communication.
We are seeking a highly motivated and experienced Sales Manager (Interior) to join our team at YoHo Designs Pvt Ltd, a startup company in Bengaluru. As a Sales Manager, you will be responsible for driving sales and generating revenue by selling our extensive range of interior designs. This is a mid-level position requiring 4 to 6 years of experience in sales.
Qualifications And Skills
Proven experience as a Sales Manager in the interior design industry
Excellent communication and negotiation skills
Strong network of contacts in the industry
Ability to understand client requirements and propose suitable design solutions
Goal-oriented and self-motivated with a track record of meeting sales targets
Ability to build and maintain strong relationships with clients and stakeholders
Proficiency in using CRM software and other sales tools
Knowledge of interior design trends, products, and technologies
Bachelor's degree in Business Administration or a related field
Roles And Responsibilities
Manage the sales process from lead generation to closure, including identifying potential customers, conducting sales presentations, and negotiating contracts
Build and maintain strong relationships with clients, architects, and interior designers to understand their needs and promote our design solutions
Develop and implement sales strategies to achieve targets and expand market reach
Collaborate with the design team to develop innovative design proposals that meet customer requirements
Stay updated with industry trends and competitor offerings to provide valuable insights and recommendations to clients
Track and analyze sales data to identify areas of improvement and optimize sales performance
Prepare sales reports and forecasts to present to senior management
Stay informed about the latest interior design trends, products, and technologies
Egen is a data engineering and cloud modernization firm helping industry-leading companies achieve digital breakthroughs and deliver for the future, today. We are catalysts for change who create digital breakthroughs at warp speed. Our team of cloud and data engineering experts are trusted by top clients in pursuit of the extraordinary. An Inc. 5000 Fastest Growing Company 7 times, and recently recognized on the Crain’s Chicago Business Fast 50 list, Egen has also been recognized as a great place to work 3 times.
You will join a team of insatiably curious data engineers, software architects, and product experts who never settle for "good enough". Our Java Platform team's tech stack is based on Java8 (Spring Boot) and RESTful web services. We typically build and deploy applications as cloud-native Kubernetes microservices and integrate with scalable technologies such as Kafka in Docker container environments. Our developers work in an agile process to efficiently deliver high value data driven applications and product packages.
Required Experience:
- Minimum of Bachelor’s Degree or its equivalent in Computer Science, Computer Information Systems, Information Technology and Management, Electrical Engineering or a related field.
- Have experience working and strong understanding of object-oriented programing and cloud technologies
- End to end experience delivering production ready code with Java8, Spring Boot, Spring Data, and API libraries
- Strong experience with unit and integration testing of the Spring Boot APIs.
- Strong understanding and production experience of RESTful API's and microservice architecture.
- Strong understanding of SQL databases and NoSQL databases and experience with writing abstraction layers to communicate with the databases.
Nice to have's (but not required):
- Exposure to Kotlin or other JVM programming languages
- Strong understanding and production experience working with Docker container environments
- Strong understanding and production experience working with Kafka
- Cloud Environments: AWS, GCP or Azure
About Us:
Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business.
We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution.
At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking.
We are looking for a Senior Data Scientist who is enthusiastic about using data and technology to solve complex business problems. If you're passionate about leading and helping to architect and develop thoughtful data solutions, then we want to chat. Are you ready to revolutionize the small business banking industry with us?
About the Role: (specific to the role-- describe the role activities/duties, who they interact with, what they are accountable for, how the role operates in the team, department and organization)
- Build and manage predictive models focussed on credit risk, fraud, conversions, churn, consumer behaviour etc
- Provides best practices, direction for data analytics and business decision making across multiple projects and functional areas
- Implements performance optimizations and best practices for scalable data models, pipelines and modelling
- Resolve blockers and help the team stay productive
- Take part in building the team and iterating on hiring processes
Requirements for the Role: (these are specific to the role-- technical skills and requirements to fulfill the job duties, certifications, years of experience, degree)
- 4+ years of experience in data science roles focussed on managing data processes, modelling and dashboarding
- Strong experience in python, SQL and in-depth understanding of modelling techniques
- Experience working with Pandas, scikit learn, visualization libraries like plotly, bokeh etc.
- Prior experience with credit risk modelling will be preferred
- Deep Knowledge of Python to write scripts to manipulate data and generate automated reports
How We Define Success: (these are specific to the role-- should be tied to performance management, OKRs or general goals)
- Expand access to data driven decision making across the organization
- Solve problems in risk, marketing, growth, customer behaviour through analytics models that increase efficacy
Nice To Have, but Not Required:
- Experience in dashboarding libraries like Python Dash and exposure to CI/CD
- Exposure to big data tools like Spark, and some core tech knowledge around API’s, data streaming etc.
Novo values diversity as a core tenant of the work we do and the businesses we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic.
Job Description:
- Strong Coding skills in C#, .NET with Windows for 4 to 8 years is mandatory
- Experience in OOPS, Design Patterns, UML Modelling is a must
- Experience working in Agile/Scrum environment is needed
- Basic Knowledge of SAFe, its Jargons minimally in theory
- Ability to build Ramp up Plans and Bring Teams up to Speed








