
Proven experience in sales and business development, preferably within the
education sector, specifically in selling admission management solutions to CBSE,
ICSE, IGCSE, IB, and boarding schools.
● Strong understanding of the admission processes and challenges faced by
educational institutions.
● Excellent communication and presentation skills, with the ability to effectively
engage with school stakeholders at all levels.
● The proactive and results-driven mindset with a track record of meeting or
exceeding sales targets.
● Ability to build and nurture long-term relationships with customers.
● Strong negotiation and closing skills, with attention to detail in contract and
agreement management.
● Exceptional organizational and time management skills, with the ability to prioritize
tasks effectively.
● Willingness to travel within the assigned territory as required.

About Ezyschooling
About
Similar jobs
About SkillSecureX
SkillSecureX is a technology-focused platform dedicated to providing practical learning opportunities and industry-oriented exposure in Data Science, Artificial Intelligence, Machine Learning, Web Development, and emerging technologies. Our goal is to help students and freshers gain real-world experience through project-based internships and hands-on learning.
About the Internship
We are looking for enthusiastic and motivated candidates for the role of Data Science with AI Intern. This internship is designed for students, freshers, and aspiring data professionals who want to build practical skills in Data Science, Artificial Intelligence, data analysis, and machine learning technologies.
Interns will work on real-world datasets, AI-based projects, and practical assignments while learning industry-relevant tools and workflows under mentorship.
Roles & Responsibilities
• Work on data collection, cleaning, and preprocessing
• Analyze datasets and generate meaningful insights
• Assist in developing AI and Machine Learning models
• Create reports, dashboards, and data visualizations
• Work with Python libraries and data science tools
• Participate in project discussions and team collaboration
• Support research and development activities related to AI solutions
Required Skills
• Basic understanding of Python programming
• Interest in Data Science and Artificial Intelligence
• Familiarity with Excel, statistics, or data analysis concepts is a plus
• Knowledge of Machine Learning basics is beneficial
• Strong analytical and problem-solving skills
• Willingness to learn and work on practical projects
Eligibility
• Students pursuing graduation or post-graduation
• Freshers interested in Data Science and AI
• Candidates looking to gain practical industry experience
Perks & Benefits
• Internship Completion Certificate
• Hands-on experience on practical projects
• Flexible remote working environment
• Mentorship and industry-oriented learning
• Opportunity to strengthen resume and technical skills
🧭 Tech Lead (Backend / Fullstack | 7–10 Years)
Location: Bangalore (On-Site, Hybrid)
Company Type: Public-Listed Product Company
We’re Building a “Top 1% Engineering Org”
We’re building a high-talent-density, AI-first R&D organization from scratch — inside a publicly listed company undergoing a full-scale transformation.
Think:
→ Rewriting legacy systems into AI-native architectures
→ Embedding LLMs + Agentic AI into core workflows
→ Reimagining platforms, infra, and data systems for the next decade
This is the kind of shift you’d expect from Google, Microsoft, or Meta —
Except you get to build it from day 0 → scale it globally.
About the Role / Team
We are building a next-generation AI-first R&D organization in Bengaluru, focused on solving complex problems across LLMs, Agentic AI systems, distributed computing, and enterprise-scale architectures.
This initiative is part of a publicly listed global company investing heavily in AI-driven transformation, re-architecting its platforms into intelligent, autonomous systems powered by large language models, workflows, and decision engines.
You will be working on:
- Agentic AI systems & LLM-powered workflows
- Distributed, scalable backend systems
- Enterprise-grade AI platforms
- Automation-first engineering environments
🚀 The Mandate
Lead execution of mission-critical systems while staying hands-on — bridging architecture and delivery.
🧩 What You’ll Do
- Own end-to-end delivery of complex engineering initiatives (0→1, 1→N)
- Design systems across backend + frontend (if fullstack)
- Translate ambiguous problems into structured technical solutions
- Drive engineering best practices, code quality, and velocity
- Mentor engineers and elevate team performance
- Collaborate with stakeholders on roadmap and execution strategy
🧠 What We’re Looking For
- Strong experience in backend systems + optional frontend frameworks
- Proven ability to lead projects and deliver at scale
- Solid understanding of system design and architecture patterns
- Ability to balance speed vs quality vs scalability trade-offs
- Strong communication and leadership without authority
- Strong coding skills in Python / Java / Go / Node.js
- Solid understanding of data structures, system design basics, and backend architecture
- Experience building scalable APIs and services
- Familiarity or curiosity around AI/LLMs, async systems, or event-driven design
- Strong debugging, problem-solving, and ownership mindset
Nice to Have
- Experience integrating LLMs, vector databases, or AI pipelines
- Contributions to architecture at scale
- Experience with Agentic AI / LLM orchestration frameworks
- Background in product engineering or platform companies
- Exposure to global-scale systems (millions of users / high throughput)
🔥 What Sets You Apart
- Experience leading platform builds or major system rewrites
- Exposure to AI systems, LLM integrations, or intelligent workflows
- Built platforms used by millions of users / high-throughput systems
- Experience with event-driven systems, stream processing, or infra platforms
- Prior work on AI/ML platforms, model serving, or intelligent systems
Background: We Commonly See (But Not Limited To)
- Our team often includes engineers from top-tier institutions and strong research or product company or DeepTech or AI Product backgrounds, including:
- Leading engineering schools in India and globally
- Engineers with experience in top product companies, AI startups, or research-driven environments
- That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.
Key Responsibility Areas (KRA) – HR Generalist
1. Recruitment & Onboarding
- Coordinate end-to-end recruitment processes (job postings, sourcing, screening, interviews, offers).
- Liaise with hiring managers to define role requirements and selection criteria.
- Conduct reference checks and background verifications.
- Ensure smooth onboarding and orientation of new hires.
2. Employee Engagement
- Develop and implement employee engagement activities and initiatives.
- Conduct periodic employee feedback surveys and support action planning.
- Organize team-building and recognition events to foster a positive workplace culture.
3. HR Operations & Compliance
- Maintain employee records and HRIS data accurately and confidentially.
- Prepare employment letters, contracts, and documentation.
- Ensure compliance with labor laws and internal policies.
- Assist in audits and statutory reporting.
4. Performance Management
- Support the implementation and monitoring of performance appraisal systems.
- Coordinate performance review cycles and assist managers with evaluation processes.
- Track and report on performance trends and support interventions as needed.
5. Training & Development
- Identify training needs in consultation with managers and teams.
- Coordinate training programs, track participation, and evaluate effectiveness.
- Maintain a calendar of learning and development activities.
6. Payroll & Benefits Administration
- Assist in payroll preparation by collecting and verifying attendance and leave records.
- Handle employee queries related to salaries, benefits, and deductions.
- Support administration of insurance, PF, ESI, and other statutory benefits.
7. Employee Relations
- Act as a point of contact for employee concerns and grievances.
- Ensure timely resolution and escalate issues where necessary.
- Promote a harmonious and inclusive workplace environment.
Email Marketing & Lead Generation Experience
Should have own email id for bulk mailing
Lead target
Having experience in SEO, WEB & MOBILE Lead generation experience
Preferred Digital Marketing Agency Experience.
5 days Working
WFH Opportunity
- Rewrite existing APIs in NodeJS.
- Remodel the APIs into Micro services-based architecture.
- Implement a caching layer wherever possible.
- Optimize the API for high performance and scalability.
- Write unit tests for API Testing.
- Automate the code testing and deployment process.
Skills Required:
- At least 2 years of experience developing Backends using NodeJS — should be well versed with its asynchronous nature & event loop, and know its quirks and workarounds.
- Excellent hands-on experience using MySQL or any other SQL Database.
- Good knowledge of MongoDB or any other NoSQL Database.
- Good knowledge in postgre
- Good knowledge of Redis, its data types, and their use cases.
- Experience with graph-based databases like GraphQL and Neo4j.
- Experience developing and deploying REST APIs.
- Good knowledge of Unit Testing and available Test Frameworks.
- Good understanding of advanced JS libraries and frameworks.
- Experience with Web sockets, Service Workers, and Web Push Notifications.
- Familiar with NodeJS profiling tools.
- Proficient understanding of code versioning tools such as Git.
- Good knowledge of creating and maintaining DevOps infrastructure on cloud platforms.
- Should be a fast learner and a go-getter — without any fear of trying out new things Preferences.
- Experience building a large scale social or location-based app
Domains: Consumer, planning, Supply Chain, Logistics
Your experience would have to completely be in product based companies and startups, and NOT service companies. Salaries are flexible.
- Experience with object-oriented design and languages
- Track record of building and delivering mission critical, 24x7 production software systems
- Experience architecting systems on AWS platform a strong plus
- Be able to deal with ambiguity and independently drive, design, and implement large scale software solution
- Proven track record of taking ownership and driving results on technical projects
- Ability to handle multiple competing priorities in a fast-paced environment
- Technical aptitude to quickly grasp complex technical issues and communicate directly with technical teams
- Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, source control management, build processes, testing, and operations
Responsibilities
- Develop and execute a long-term product roadmap and architecture while balancing short term commitments
- Handling the entire SDLC.
- Own the architecture SCOT product platforms to drive business results.
- Be a visible leader to drive and own the architecture and design of some of the most advanced & complex software systems / products in the industry to create company wide impact
- Be an operational and technical leader with a passion for distributed systems, cloud service development, deployment and delivery. Accountable for solutioning, design, architecture, for the ease of evolution, quality of the systems, performance, scalability, availability characteristics, NFRs and limitations of the systems. Should be willing to be hands-on and spend time actively developing parts of the systems.
- Envision and develop the long-term architectural direction, with emphasis on platforms/ reusable components while adopting a nimble delivery process.
- Establish structures and processes that ensure a high level of quality and reliability and extensibility of deliverables .
- Drive the creation of next generation extensible web, mobile and fashion commerce platforms, security protocols, customisation and tools to support continuous scaling, internationalisation and platform extensions.
- Drives code and design reviews of components / systems / products in scope and drives the architectural governance for them
- Set directional paths for the department for adoption of new technology stacks for solving business problems
- Work with product management, business stakeholders and other engineering leaders to help define mid-term, long-term roadmaps and shape business directions
- Initiate and deliver leadership training within the engineering organisation and drive the growth of leaders to create a strong leadership bench.
- Follow coding standards, unit-testing, code reviews etc.
- Follow release cycles and commitment to deadlines.
- Lead by example through innovation.
- Build and nurture a team of software developers
- Shape team goals by developing a deep understanding of our business processes and success criteria
- Develop and execute a long-term architecture while balancing short term commitments
- Work closely with the team to architect and develop the best technical design and approach to solve complex problems
- Effectively partner with engineering and non-engineering groups across the organization to deliver on own goals
- Work closely to architect and develop the best technical design and approach to solve complex problems.
- Take the accountability of the overall health of the products you build, and predictability of the deliverables
- Effectively partner with engineering, product and business stakeholders across the organization to co-define and deliver on goals.








