Telesales Executive

About the Company

KGeN is building a Verified Distribution Protocol for AI, DeFi, and gaming, enabling companies to reach verified users and build high-trust digital ecosystems. The platform supports millions of users across 60+ countries and helps organizations scale user acquisition, engagement, and loyalty programs.

Role Overview

We are looking for an HR Operations professional who can help build and streamline HR systems, processes, and employee experience as the company scales globally.

This role will work closely with leadership to ensure efficient HR operations, employee lifecycle management, and process automation.

Key Responsibilities

HR Operations

• Manage the end-to-end employee lifecycle (onboarding to exit).
• Maintain and update employee records, documentation, and HRIS systems.
• Ensure HR compliance, policies, and documentation are maintained.

Employee Experience

• Act as the first point of contact for employee queries related to HR processes.
• Support employee engagement initiatives and HR programs.

Process & Automation

• Improve HR workflows, documentation, and operational processes.
• Work with internal teams to build automation-first HR operations.

HR Analytics & Reporting

• Track and maintain HR metrics, reports, and workforce data.
• Support leadership with HR dashboards and insights.

What We Are Looking For

• 2–5 years of experience in HR Operations / HR Generalist roles
• Experience managing employee lifecycle processes
• Exposure to HRIS systems, HR documentation, and compliance
• Strong organizational and communication skills
• Comfortable working in fast-paced startup environments

 Nice to Have

• Experience working in startup or high-growth environments
• Exposure to automation tools or HR analytics

Requirements:

• Minimum 2 Years of Experience: Demonstrated experience in visual communication design, with at least 2 years of professional experience.
• Portfolio: A compelling portfolio showcasing a diverse range of visual communication work, including packaging design, digital graphics, and print collateral.
• Consumer Brand Experience: Prior experience in designing for consumer brands is advantageous, indicating an ability to connect with target audiences effectively.
• Creativity: A flair for creative thinking and the ability to translate concepts into visually appealing designs.
• Software Proficiency: Proficient in design software such as Adobe Creative Suite (Illustrator, Photoshop, InDesign) and a willingness to adapt to emerging design tools.
• Detail-Oriented: Meticulous attention to detail, ensuring that all designs are accurate and aligned with brand guidelines.
• Collaborative Spirit: Strong interpersonal and communication skills, enabling effective teamwork and client collaboration.

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

• Identifying potential clients through market research 
• Making calls to generate leads, and helping to develop lead generation strategies 
• Communicating with clients, answering questions, and scheduling presentations and follow-ups
•  Assisting the sales department, which may include participating in meetings, managing email campaigns, and making cold calls 
• Maintaining databases 
• Contributing to data analysis to develop lead generation strategies 
• Compiling weekly and monthly reports on key accounts, monitoring inventory and sell-through, and submitting recommendations 

Role: Customer Service Executive/Technical Support Executive

Responsibilities:

• Call Handling from Customers and resolving the issues.regarding printers, routers , email issues.
• Supporting the Query and do the needful.
• Reporting to the team lead.
• Proactive work to be done.

•  Experience as a Full Stack Developer or similar role 

  • Familiarity with common stacks
  • Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, JSON, jQuery)
  • Knowledge of multiple back-end languages (e.g., C#, Java, Python) and JavaScript frameworks (e.g., Angular, Node.js)
  • Excellent communication and teamwork skills.
  • Great attention to details, Organizational skills, An analytical mind
  • Degree in Computer Science, or relevant field.

  Responsibilities 

  • Work with development teams and product managers to ideate software solutions
  • Design client-side and server-side architecture
  • Build the front-end of applications through appealing visual design
  • Develop and manage well-functioning databases and applications
  • Write effective APIs
  • Test software to ensure responsiveness and efficiency
  • Troubleshoot, debug and upgrade software
  • Create security and data protection settings
  • Build features and applications with a mobile responsive design.

   

Hello there, we're in urgent need of a good ReactJS developer

having 3-5 years of experience in ReactJS.

Responsibilities

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Required skills:

• Hands on experience using Material-UI, developing custom components on top of in-build Mui components.
• Graphql(Apollo) experience is a MUST.
• We use React hooks everywhere so you should be well-versed with that.
• Experience developing using Storybook is preferred.