~Lead conversion
~Revenue generation
~Proactively identifying cross-selling /Up-selling process with the existing ~customers
- Work Mode: Bangalore (Work from Office)
- Qualification: Graduation (Tech Background Preferable)

About Simplilearn Solutions
About
Simplilearn is the most popular online boot camp for the teaching of digital skills, and it assists students in learning the abilities necessary to flourish in today's digital economy. They provide intensive training in a range of areas, such as data science, cloud computing, cyber security, digital marketing, and project management, all of which may be completed online. To put it another way, Simplilearn focuses its efforts on niches that are characterized by rapidly advancing technology and standards of practice, as well as a significant disparity between the demand for and supply of qualified individuals.
Simplilearn provides a wide range of comprehensive certification programs, individual courses, and partnerships with some of the most prestigious universities in the world. Through these offerings, the company assists millions of professionals in developing the work-ready skills they need to excel in their careers, as well as thousands of organizations in meeting the employee upskilling and corporate training needs of their businesses. 85 percent of Simplilearn's learners have either advanced in their current jobs or found new ones as a direct result of the program's hands-on, practical approach.
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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.

Position: GM- Plant and operation (Building material)
Experience: 12+ year in production and plant operation in Building material industry
Location: Kapadvanj, Gujarat
salary: Negotiable
candidate must have experience in production and plant operation in building material industry. (prefer aac block, wall panel)
good communication skill presentable, smart
mail updated resume with salary details-
email; etalenthire[at]gmail[dot]com
satish: 88O 27 49 743
Job Summary:
The Lead IaC Engineer will design, implement, automate, and maintain infrastructure across on-premises and cloud environments. This role should have strong hands-on expertise in Chef, Python, Terraform, and some AWS & Windows administration knowledge.
8-12 years of experience
Primary Skills – Chef, Python, and Terraform
Secondary – AWS & Windows admin (Cloud is not mandatory)
● Analyze business requirements and design test cases for functional and non-functional
testing.
● Identify, document, and track defects, ensuring thorough root cause analysis and resolution.
● Ensure high-quality application releases for UAT and Production.
● Collaborate with cross-functional teams during sprint planning, grooming, and
retrospectives.
● Conduct API testing and validate system integrations.
● Perform database testing to ensure data accuracy and integrity.
● Execute regression testing for unchanged features.
● Ensure compliance with company QA standards, policies, and best practices.
● Maintain test strategies, processes, and result documentation.
● Develop and manage test automation frameworks using tools like Cypress and Playwright.
Location-- Goregaon
Responsibilities of candidate include:
• Calling and visiting customers
• Collect payment
➢ Demonstrates ownership to resolve challenging customer issues, escalating
when necessary.
➢ Call customers with overdue accounts.
➢ understand and explain benefits of repayment and credit history of
customer.
➢ Correct customer misunderstanding on product policy and terms.
➢ Set up payment plan and follow-up schedule.
➢ Educate customer on consequences for late payment.
➢ Escalate difficult or unusable case to team leaders.
➢ Provide feedback on reason for default to team Leader.
Requires candidates who is fluent in English and Hindi or English and 2 South Indian Languages
Age criteria 20 to 29 Years
Location- KR Puram, Bangalore
About KAFQA
At Kafqa, we are building the next generation performing arts platform. Our mission is to transform how India learns, performs & watchers performing arts. We are currently in stealth mode with a target public launch date in April. Our launch services consist of technology enabled dance classes in our proprietary studios, production facilities and social media broadcasting & competitions.
Founder & Team
The founder is Shariq Plasticwala. He is a graduate of IIT Bombay & Stanford GSB. He was part of the founding team of Amazon India where he played a key role for over 8 years. Among his roles at Amazon, he was the CEO of Amazon’s first joint venture in India and a Board Member of Amazon’s payments business. The other members of the founding team consist of senior executives from Shiamak Davar & Byju’s.
Role
We are looking for an experienced Frontend engineer with ReactJS development experience to join our team.
Here’s are some of the things you might have to do on any given day:
- Implement responsive and performant UIs with user centered approach with frontend technologies including ReactJS, Javascript(ES 6), Typescript, SCSS, etc
- Write meaningful test cases for frontend &
- Develop Infrastructure for delivering services using a performance driven approach, build databases, schedule automated jobs, etc
Ideal Background / Experience
- At least 12 months of diverse experience in web development for product or services oriented environment with exposure to working production deployments
- Expertise in programming using Python/ReactJS or similar scripting languages
- In-depth exposure to technologies used in web-based SaaS products, including REST APIs
- Sound understanding of Postgres and NoSQL databases such as MongoDB
Nice to have exposure to any of
- AWS
- Azure
- ELK
- Object Relational Models (SQLAlchemy, etc)
- Google APIs
- Microservices Architecture Pattern
- NodeJS / ExpressJS
Fulfil’s software engineers develop the next-generation technologies that change how millions of customer orders are fulfilled by merchants. Our products need to handle information at massive scale. We're looking for engineers who bring fresh ideas from all areas into our technology.
As a senior software engineer, you will work on our python based ORM and applications that scales to handle millions of transactions every hour. This is mission critical software and your primary focus will be building robust and scalable solutions that are easy to maintain.
In this role, you will be collaborating closely with the rest of the team working on different layers of infrastructure in an international environment. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product are important.
What You’ll Do:
- Own definition and implementation of API interfaces (REST and GraphQL). We take pride in our 100% open API with over 600 endpoints.
- Implement simple solutions to complex business logic that enables our merchants to manage financials, orders and shipments across millions of transactions.
- Build reusable components and packages for future use.
- Translate specs and user stories into reviewable, test covered patches.
- Peer review code and refactor existing code.
- Integrate with our eCommerce partners (Shopify, BigCommerce, Amazon), shipping partners (UPS, USPS, FedEx, DHL) and EDI.
- Manage Kubernetes and Docker based global deployment of our infrastructure.
Requirements We’re Looking for Someone With:
- Experience working with ORMs like SQLAlchemy or Django (2-3 years)
- Experience with SQL and databases (Postgres preferred)
- Experience in developing large server side applications and microservices
- Ability to create high quality code
- Experience with python testing tools (pytest) and test automation
- Familiarity with code versioning tools like GIT
- Strong sense of ownership and leadership quality
- Experienced in the tools of our web stack- Python, Celery, Postgres, Redis, RabbitMQ
Nice to Haves:
- Prior experience at a growth stage Internet/Software company
- Experience with ReactJS, Google Cloud, Heroku
- Cloud deployment and scaling experience*
Job Description
Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.
Seeking an M.L. Engineer with high aptitude toward development. Will also consider coders with high aptitude in M.L. Years of experience is important but we are also looking for interest and aptitude. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.
Experience
10+ Years
Location
Bozeman/Hyderabad
Skills
Required Skills:
Bachelors/Masters or Phd in Computer Science or related industry experience
3+ years of Industry Experience in Deep Learning Frameworks in PyTorch or TensorFlow
7+ Years of industry experience in scripting languages such as Python, R.
7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing
Familiar with non-neural network methods such as Bayesian, SVM, Adaboost, Random Forests etc
Some experience in setting up large scale training data pipelines.
Some experience in using Cloud services such as AWS, GCP, Azure
Desired Skills:
Experience in building deep learning models for Computer Vision and Natural Language Processing domains
Experience in productionizing/serving machine learning in industry setting
Understand the principles of developing cloud native applications
Responsibilities
Collect, Organize and Process data pipelines for developing ML models
Research and develop novel prototypes for customers
Train, implement and evaluate shippable machine learning models
Deploy and iterate improvements of ML Models through feedback











