Werize

Location:Banglore About WeRizeFounded in 2019 by Vishal Chopra and Himanshu Gupta, WeRize is building India&rsquo;s largest fullstack financial services brand for 300 million underserved middle-class customers who live in4000+ small towns of India. This customer segment is not served by private sector banks, Insurersand Mutual Fund companies due to their low ticket-size and lifetime value and is dependent onPSU/Govt. banks. PSU/Government banks rarely provide financial products beyond basic savingsaccounts and these customers lack access to unsecured loans, credit cards, health and lifeinsurance and investment products. WeRize manufactures innovative Credit, Savings and GroupInsurance products designed for this customer base keeping in mind their needs, requirementsand purchasing power, with a view to add a layer of financial security to their lives and enableaccess to credit.While customers in these geographies use smartphones, they need proper guidance and supportwhen purchasing the right financial products for themselves. So, a pure digital model doesn&rsquo;twork for this segment. WeRize has innovated on this front through its &lsquo;Finance ki online dukaan(Social Shopify of Finance)&rsquo;, a first of its kind social distribution tech platform in the financialservices space that educates and enables local financially literate freelancers across these smalltowns to source business through online and offline channels, recommend the right financialproduct(s) to customers as well as provide after sales support. These freelancers, who are locatedin more than 1000+ towns and cities, earn as much as INR 30,000 a month from WeRize incommissions.Our social distribution platform supported by financially literate freelancers means exceptionallylow cost of customer acquisition (CAC) and operations costs compared to both fully digital andon-the-ground financial services providers. Digital conversions among this target group are waylower when compared to upper income customers in metros and hence pure digital CAC doesn&rsquo;t work for this segment. While companies like LIC and Fino Bank also rely on freelancerdistribution, they deploy local on-field teams/branches to manage freelancers in every city. Thatresults in very high CAC and operations costs for such companies. WeRize on the other hand, hasbeen able to acquire, train and manage thousands of freelancers in 1000+ cities only through itstech platform and without any feet-on-street team of its own. This results in highly profitablebusiness model for Werize.To know more about the company, please visit: https://www.werize.com/Key Metrics&bull; Annualized Revenue Run Rate of $11Mn as of June 2022. ( Approx $1Mn per month).Weare growing aggressively and our revenues are doubling every 6 months&bull; Profitability- Unlike most of other startups, we are already profitable because of ourunique distribution model.&bull; Geography Covered- Served customers in 1500+ cities pan india. Aim to cover all 4000cities in next 3 years.Fund RaiseFunds Raised: $26 million (INR 192 Crore)Valuation - $ 115.5Mn (INR 900 Crore)Stage: Pre- Series B (raised June 2022) Leadership Team:Vishal Chopra, Co-Founder &amp; CEO:- Ex-CBO Lendingkart &ndash; India&rsquo;s largest Fintech Lender ($150Mn+ fund raise)- Fist hire of Amazon India - part of the leadership team that launched Amazon.in- Regional Director, Souq.com - largest e-commerce player in the Middle East. Raised$425Mn, acquired by Amazon- MBA, ISB HyderabadHimanshu Gupta, Co-Founder &amp; COO:- Ex-VP and Head of Data Science, Lendingkart &ndash; created AI/ML models and maintainedNPAs &lt; 2% vs 8% industry avg- Data Scientist, IHS Markit- BTech, IIT Delhi- 10+ years&rsquo; experience in AI/ML Founding Team:Head of Collections:South India Head-Collections, Bajaj Finance; managed 800-member teamHead of Product:BTech, IIT Kanpur; Product Leader at Lendingkart and FlipkartHead of Technology:Btech CS, IIT Kanpur; Tech Leader at Paytm and MedlifeHead of Business:MBA- IMT Ghaziabad, Operations Leader, LendingkartHead of Credit Ops:Regional Head, HDB (HDFC subsidiary) Basic Qualification&bull; BS/MS or higher degree in computer science, computer engineering, or related workExperience.&bull; 1-4 years of strong individual contributor experience as a software engineer in test.&bull; Strong working experience on Manual Testing.&bull; Working knowledge with Data base and basic SQL queries.&bull; API testing experience would be added advantage.&bull; Experienced on Testing the Web and Mobile application (Android).&bull; Strong working knowledge of test automation frameworks like Selenium, Appium, unittesting (JUnit/TestNG/BDD).&bull; Experience with JAVA programming language.&bull; Strong analytical skills and ability to discuss complex concepts with technical peers.&bull; Experience with automation test scripts development and CI/CD tools like Jenkins. Roles and Responsibilities:&bull; Understand the product requirement document and project details.&bull; Own and maintain the quality of large feature/product.&bull; Design, develop and execute the test cases.&bull; Actively contribute to issue analysis, reporting and documentation.&bull; Actively involved in maintain the quality of products.&bull; Working closely with the product team to understanding the new feature requirement.&bull; Communicate within the team and across the teams for any challenges faced.&bull; Participate in daily sync-up/update meetings. Good to have:&bull; Understanding the automation framework set up.&bull; Identify the scope and develop the automation test scripts.&bull; Maintaining the automation suite/test scrips.&bull; Analysing automation test execution results, finding the root cause and fixing the issues.

Work type WFO Bangalore
 
 Hiring process 3 rounds
 
 Employ type Full-time
 
 Salary budget 1-4 years: Max 15L 4-6 years: Max 20L

Software Engineer in Test(Max 20L)

Agrim

Our journey:Agrim is a fast-growing agri-tech startup building an on-demand B2B Agri-inputs marketplace. Agri-inputs is a$50bn industry spread across Seeds, Agro Chemicals, Fertilizers, Agro-Tools, and Animal Feed. AGRIM hasscaled up rapidly across India, with 10% of the overall customer universe already onboarded on the platform.Having closed our Series A round of funding with Tier-1 investors, we are very well capitalized. Our Founders areIIT/ IIM graduates and ex-entrepreneurs (with successful exits) and we have also built one of the best start-upteams, with senior executives from Tier-1 education institutes, e-commerce companies such as Amazon,Hopscotch, Policy Bazaar, etc. and experienced industry professionals from the agriculture sectorRole ContextAgrim is a rapidly scaling start-up(in business as well as people terms). Like start-ups in this stage, our currentTechnology landscape is built for agility and for Today&rsquo;s needs with the help of Technology partners who cater toour development needs. As we become larger, an in-house technology team becomes imperative to ensure we arebuilt for success in the future. A successful candidate would be someone who is a consummate techie at heart,wants to go on a journey of building and scaling a technology team, a self-starter thrives with empowerment andownership, and has a love for metrics &amp; numbers. If chaos and ambiguity don&rsquo;t scare you, but rather propel you tobring method to madness and ownership of outcomes give you a high, we are the right place for you!Role: Data EngineerAbout The RoleWe are looking for a strong and passionate data engineer with experience in Data Warehouse/BusinessIntelligence/Data Pipelines/API Integration. This is a very high-impact role that will provide a well-roundedperspective on the Business and FinTech at Agrim and brings with it the opportunity to collaborate and interact witha multi-functional group. You will be a part of key initiatives for Agrim which will set the foundation for theCompany&rsquo;s Growth. You will be working on below mentioned Key Initiatives Build and automate ML processes: track, test, measure and deploy ML models in staging and productionenvironments. Build data pipelines to feed machine learning models for real-time and large-scale offline use cases Work closely with data scientists to scale model training and explore new data sources and modelfeatures Responsible for building and maintaining our end-to-end data pipelines from various data sources Implement data modeling concept driven by business requirementsMinimum Qualifications 2+ years of industry experience in software development, data engineering, ML, business intelligence or arelated field. Strong Troubleshooting and problem-solving skills. Production experience programming in Python. Understanding of data management fundamentals and data storage principles. Production experience with one or more major SQL databases. Good communication, collaboration, analytical and problem-solving skills. &bull; Development expertise inUnix-based environmentsPreferred Qualification Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, BusinessIntelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting valuefrom large datasets Experience in large-scale data warehousing and analytics projects, including use of AWS services -Redshift, S3, EC2, etc. Experience with agile development methodologies by following DevOps, Data Ops and Dev Sec Opspractices Experience Integrating Zoho with AWS Service

Work type WFO Gurgaon
 
 Employ type Full-time
 
 Salary budget 15-30LPA

Data engineer(15LPA-30LPA)

Yugen.ai

Data Engineer/Cloud Data Engineer About Yugen Founded in 2020 by ex-Silicon Valley, IIT Alumni with prior experience in Tech Consulting and Product Management, Yugen is an early-stage startup in the Data Science and Machine Learning Engineering space. Simultaneous adoption of Algorithms, Engineering, and Responsible AI will shape the future, and Yugen&rsquo;s vision is to be at the forefront of that trend. We are working towards becoming India&rsquo;s leading player in the Data Science and MLOps consulting space over the next 4-6 years. About the Role and Responsibilities We're looking for Data Engineers who will work hands-on and manage technology projects across multiple client engagements. As a Data Engineer, you will be part of the Engineering and Technology function and eventually play a central role in building our MLOps platform. Your key responsibilities will be to - ● Translate business requirements into scalable technical solutions ● Design, build and manage Data Ingestion, transformation and exploration pipelines designed for high throughput/low latency ● Deploy a range of data engineering pipelines into production ● Collaborate with other ML Engineers and Data Scientists during System Design &amp; implementation/maintenance of Feature Stores and Model Monitoring ● Be result oriented and emphasise on on-time delivery of projects ● Communicate potential roadblocks and trade-offs between performance and complexity upfront ● Mentor other Data Engineers and enable their growth Yugen is currently an early-stage startup with a fast-growing client portfolio. We create scalable and reliable ML Systems and therefore Engineering is an extremely crucial part of our work. We are strongly committed to the &lsquo;Every promising model should face the test of reality&rsquo; philosophy. Key Qualifications Must Haves ● Knowledge and experience of deploying and maintaining large scale advanced systems in production environments ● 2+ years of hands on experience in building Distributed Computing - Spark/PySpark, Scala and Kafka ● Strong programming skills in Python &amp; SQL ● Experience in handling architectural and design considerations such as performance, scalability, reusability and flexibility issues ● 2+ years of hands-on experience in Cloud computing platforms (any one of AWS/Azure/GCP) ● Workflow management such as Airflow ● Linux environment, SQL &amp; NoSQL databases and Shell scripting ● Clear understanding of Git/version control Desirable ● Hands-on experience on deploying ML models ● Knowledge of feature stores ● Knowledge of deployments in Kubernetes containers

Work type WFH
 
 Employ type Full-time
 
 Salary budget Max 25L

Jobs available in Zigup

Software Engineer in Test(Max 20L)

Data engineer(15LPA-30LPA)

Data engineer(Max 25L)