District Sales Manager

Company Description

KGISL Institute of Technology is a higher education institution located in Coimbatore, Tamil Nadu, India. As part of the KGISL Campus, the institute is committed to delivering quality education in the field of technology. With a focus on both theoretical and practical learning, KGISL Institute of Technology aims to produce skilled professionals who can meet the demands of the industry.

Role Description

This is a full-time, on-site role for a Technical Trainer, located in Dharmapuri. The Technical Trainer will be responsible for designing and delivering technical training sessions, conducting needs assessments, creating training materials, and presenting complex technical information in an understandable way. The role also includes collaborating with other departments to identify training needs, tracking the effectiveness of training programs, and continually improving training methods to ensure the highest quality education for participants.

Qualifications

• Skills in Technical Training and Training & Development
• Experience as Technical Trainers and in designing training programs
• Strong Communication and presentation skills
• Ability to identify training needs and tailor sessions accordingly
• Proficiency in using training tools and technology
• Excellent organizational and time-management skills
• Bachelor's degree in Education, Information Technology, or related field
• Experience in the educational sector is a plus
• Must required Skills ( HTML, Full stack, JAVA, C++, Python, Data structure, SQL basic )

REVIEW CRITERIA:

• Strong Credit & Risk strategist profile
• Must have 2.5+ years of experience as credit and risk strategist/analyst in unsecured personal loan in B2C Fintech Product Companies (or NBFC)
• Must have strong understanding of automated underwriting and SMS underwriting for lending
• Must have experience with scorecards, rule engine, bureau data, device signals and behavioural insights
• B2C Fintech Product companies 

ROLE & RESPONSIBILITIES:

We are looking for a Credit & Risk Lead who can craft smart, data-driven credit strategies to scale the app while keeping delinquencies low.

WHAT YOU’LL DO:

• Build and refine credit strategies for short-tenure, small-ticket unsecured personal loans.
• Work with Data Science to improve decision engines, scorecards, rules, and real-time underwriting models.
• Create sharp risk segmentation using behaviour, device signals, bureau data, fraud patterns, and portfolio trends.
• Analyse bounce rates, roll rates, early-bucket trends, and cohort behaviour to identify segments driving delinquencies.
• Share clear insights with Collections to boost pre-due and early DPD performance and improve cure rates.
• Track vintages, cohorts, and DPD curves to iterate policies, limits, and approval logic continuously.
• Strengthen fraud detection, identity checks, and thin-file underwriting frameworks to ensure clean approvals.
• Own policy governance, compliance, documentation, and alignment with RBI Digital Lending Guidelines.
• Stay ahead of market trends, competitor practices, and regulatory shifts to keep the risk engine future-ready.

IDEAL CANDIDATE:

• 2.5+ years in unsecured personal loan risk within a fintech or NBFC.
• Strong understanding of digital underwriting, policy design, and credit decisioning for short-tenure PL.
• Experience working with scorecards, rule engines, bureau data, device signals, and behavioural insights.
• Ability to work closely with Data Science, interpret large datasets, and convert insights into clear credit actions.
• Strong communication, cross-functional collaboration, and a proactive, analytical mindset.

PERKS, BENEFITS AND WORK CULTURE:

• Work directly with Founders: Mikhil Innani, former co-founder of PharmEasy and ex-Product Head at Hotstar, and Diksha Nangia, a former banker and CFA Charterholder.
• Best of both worlds: startup energy + listed company stability.
• Competitive pay and fast-track growth.

Job Description:

We are looking for enthusiastic and confident freshers to join our IT Sales team. This role involves learning about cybersecurity solutions, conducting product demos, interacting with potential clients, and supporting sales growth.

Key Responsibilities:

• Assist in identifying sales opportunities
• Conduct product demonstrations with guidance
• Engage with clients to understand their needs
• Support the sales team in daily operations

• 5+ years of relevant experience as an individual contributor working on the frontend technologies
• Strong technical foundation and experience building user interfaces for complex applications.
• Deep proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js core principles and experience with latest React concepts like hooks, context APIs
• Experience with popular state management libraries like Redux, Flux
• Familiarity with newer specifications of ECMAScript and knowledge of modern authorization mechanisms, such as JSON Web Token
• Experience with common front-end build tools such as Babel, Webpack, NPM, etc.
• Familiarity with Git
• Hands on experience with markup languages
• Background contributing best-practices and architectural leadership to front end applications
• Demonstrable understanding, and experience in dismantling large, abstract problems into smaller, workable tasks.
• Strong interpersonal skills with the ability to effectively collaborate cross functionally with designers, product managers and other engineers.

Brief write up on how you could be a great fit for the role :

What your days and weeks will include.

• Agile scrum meetings, as appropriate, to track and drive individual and team accountability.
• Ad hoc collaboration sessions to define and adopt standards and best practices.
• A weekly ½ hour team huddle to discuss initiatives across the entire team.
• A weekly ½ hour team training session focused on comprehension of our team delivery model
• Conduct technical troubleshooting, maintenance, and operational support for production code
• Code! Test! Code! Test!

The skills that make you a great fit.

• Minimum of 5 years to 10 Years of experience as Eagle Investment Accounting (BNY Mellon product) as a Domain expert/QA Tester.
• Expert level of knowledge in ‘Capital Markets’ or ‘Investment of financial services.
• Must be self-aware, resilient, possess strong communications skills, and can lead.
• Strong experience release testing in an agile model
• Strong experience preparing test plans, test cases, and test summary reports.
• Strong experience in execution of smoke and regression test cases
• Strong experience utilizing and managing large and complex data sets.
• Experience with SQL Server and Oracle desired
• Good to Have knowledge on DevOps delivery model including roles and technologies desired

We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.

To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.

Machine Learning Engineer Responsibilities:

Consulting with managers to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Developing ML algorithms to analyze huge volumes of historical data to make predictions.

Running tests, performing statistical analysis, and interpreting test results.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.

Machine Learning Engineer Requirements:

Bachelor's degree in computer science, data science, mathematics, or a related field.

Master’s degree in computational linguistics, data analytics, or similar will be advantageous.

At least two years' experience as a machine learning engineer.

Advanced proficiency with Python, Java, and R code writing.

Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.

In-depth knowledge of mathematics, statistics, and algorithms.

Superb analytical and problem-solving abilities.

Great communication and collaboration skills.

Excellent time management and organizational abilities.

NW JD Network Lead designs, plans and develops Enterprise network device configurations, End Point connectivity and Network security participating in service flow discussions and deployment architecture. Establishes monitoring, maintenance procedures, support, and optimization of all network hardware, software, and communication links. This position will be working on an engineering and project team providing solutions and new implementations. Design cost-effective data communications solutions to meet new and evolving requirements Plan and execute the installation of new networking components to fulfil business requirements Support the design and analysis of network improvements and enhancements. Provide analysis to support performance tuning and capacity planning Provide troubleshooting and problem solving support for network issues. Monitor system hardware and software and manage system performance Determine capacity and performance planning goals. Maintain documentation of network configuration and records relating to network hardware and software Manage projects directly related to the area of assigned responsibility and other general network projects. Serve as technical consultant on new request from client. Technical expertise to other network engineers and IT department team members. Efficiently manages work across multiple networks and related systems. Preferred Skills: Certifications Industry Certification: CCNP or CCIE Expert knowledge of Network Systems and emerging technologies, experience on projects around Cloud and SAAS platforms. Advancing knowledge in other areas of Infrastructure Design and Management Advanced Knowledge of support and administration of Network Management tools Experience supporting MDM, Firewalls, Load Balancers, Riverbed WAN Optimizers & Infoblox technology.

Desired Skills: CCNP/CCIE, Strong Routing & Switching background (8 years+ experience) Strong Understanding of L2/L3 switching and MPLS (WAN) technologies Experience with Firewalls & Load Balancer technologies Experience with Forescout NAC & Infoblox Experience with Network monitoring tools (PRTG) Experience with optimization appliances Experience with scripting and automation. Product knowledge on Citrix, CheckPoint. Exposure to SSL, direct TLS and Mutual TLS

Location: Ahmedabad (Temporary WFH)

Designation: QA Engineer

Experience: Fresher to 3 Years

Salary: As per market standards

Responsibilities

1-Should have played a vital role in Setting up Automation Frameworks, Processes, and Standards.

2-Expert proficiency in automation scripting using Java or other scripting languages.

3-Experience in using automation tools like Selenium/Webdriver, Sikuli, Junit/JMeter, etc.

4-Good expertise in System, Regression, Smoke, Sanity, Ad-Hoc, Browser Compatibility, and Interface testing.

5-Prepare test case for Functional, Non-Functional, Integration and Usability, UI.

6-Experienced with a defect and bug tracking tools like Bugzilla, JIRA, etc.

7-Hands on experience in Test Planning, Test designing, and Test Execution, Defect Tracking & Defect Reporting.

8-Experience working in an agile development environment and scrum methodologies.

9- Involvement in setting up Test Environments, Requirements Management, Requirement Analysis.

10-Good understanding of database.

11-Should have experience in API testing.

12- Should have knowledge of payment gateway testing.

13- Good Knowledge of Performance Testing, Regression Testing, DataBase testing, Android Testing.

Qualifications

Education: B.E/B.Tech BCA/MCA

• Work on creating high-quality content for the company’s clients as well as inhouse brands, in various formats
• Spot story ideas within the company, conduct interviews, and write stories and blogs based on them
• Learn how to use various inbound and account-based marketing methodologies to deliver marketing goals 
• Work with marketing tools and technologies to ensure that content is created and amplified to generate the goals decided upon
• Work with marketing heads and CEOs and be part of the strategizing and ideation
• Work on B2B content marketing strategies for companies
• Be accountable for the results your content is generating

Here’s what we are looking for:

• Good understanding of business and marketing
• Flair for business writing and a sharp eye for editing
• B2B writing experience of 1+ years
• Exceptional written and spoken English
• Self-driven, responsible, team player, sincere, results-oriented
• Should be good in communication