manager- Finance and accounts (Accounts Receivable)- CA

Roles and Responsibilities:

- Understands the value of digital influence or a digital influencer themselves.
- Whether on YouTube, Instagram, Facebook or other platforms, s/he will create relationships with content creators and work with them from negotiation to posting.

- Test new ideas, manage own projects and budgets, always look for new ways to grow the number.

- Identify, on-board, train, track and manage brand influencers across social and digital media platforms.

 -Implement engaging influencer and brand ambassador campaigns using research, competitive analysis, brand standards and social/digital media best practices.

-Develop and execute influencer marketing strategies and creative campaigns

- Keep abreast of emerging trends, technologies, and influencers

- Liaising with the marketing team to create and coordinate marketing strategies that work across different channels

 

Kutumb is the first and largest communities platform for Bharat. We are growing at an exponential trajectory. More than 1 Crore users use Kutumb to connect with their community. We are backed by world-class VCs and angel investors. We are growing and looking for exceptional Backend Developers to join our Engineering team.

More on this here - https://kutumbapp.com/why-join-us">https://kutumbapp.com/why-join-us.html

 

Core Responsibilities:

• Design and develop real-time, resillient and high availabilty systems
• Architect and Build Microservices
• Iterating and building experiments
• Will be working with Node.js, Go, MySQL and Redis

 

You are the right fit if you have:

• Strong systems, architecture and database fundamentals
• Build from scratch and be a good decision maker
• The Ownership skills and can own the problems end to end
• The Zeal and willingness to put in extra efforts to build a product which will be used by millions of users, and most importantly
• The ability to find the solution to any problem and get things done

 

What we offer:

• High pace of learning
• Opportunity to build the product from scratch
• High autonomy and ownership
• A great and ambitious team to work with
• Opportunity to work on something that really matters
• Top of the class market salary and meaningful ESOP ownership

Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.

Our client is a revolutionary, one of a kind supply chain system for the pharmaceutical sector. They partner and connect with registered and verified users in their digital system and help to find the right sellers and buyers for pharmaceutical products in the specific region. They show the availability, prices and stock details of medicines and allows one to place or accept orders as customers and sellers respectively.

 

 What you need to have:

• Minimum of 4 years (and above) experience in modern UI frameworks like ReactJS web/Native
• Experience and expertise in HTML, CSS and Javascript
• Familiar with UI design concepts and user interface design
• Experienced user of the GIT/GITHUB repository
• Experience with hands on UI development
• Experience in modern UI frameworks like ReactJS web/Native

Rajasthan Studio is looking for young and bright minds for its upcoming innovative, never-experienced-before app platform for virtual art experiences.

 

We are looking for programmers with problem-solving skills and critical thinking abilities for the position of Back End developer. Back End developers are responsible for creating a bridge between customers and business logic, optimizing applications for maximum efficiency, creating dashboards for internal teams, and maintaining brand consistency across the application, among other duties.

 

Backend Web Developers are responsible for managing the interchange of data between the server and the users. The role's primary focus will be the development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. A basic understanding of front-end technologies is necessary as well.

 

Responsibilities -

• Creating RESTful API/GraphQL to be consumed by Flutter developers
• Building reusable code and libraries for future use
• Optimization of the application for maximum speed and scalability
• Implementation of security and data protection
• Design and implementation of data storage solutions
• Participate in the entire application lifecycle, focusing on coding and debugging
• Write clean code to develop functional web applications
• Troubleshoot and debug applications
• Provide training and support to internal teams

 

Skill & Qualifications -

• Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, and CSS3
• Understanding accessibility and security compliances
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Management of hosting environment, including database administration and scaling an application to support load changes
• Data migration, transformation, and scripting
• Setup and administration of backups
• Outputting data in different formats
• Understanding differences between multiple delivery platforms such as mobile vs desktop, and optimizing output to match the specific platform
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Proficient understanding of OWASP security principles
• Understanding of “session management” in a distributed server environment
• Knowledge of Yii framework - version 2 (preferred)

Looking for immediate joiners.

• Responsible for the implementation of end-to-end modules starting from user interface, business logic layer and database layer.
• Proficient in HTML, javascript.
• React JS experience is an added advantage.
• Assists in research, design, documentation, and modification of software specifications throughout the software development life cycle.
• Analyzes, troubleshoots, and optimizes code.
• Participates in requirements gathering meetings and produces technical documentation as needed.

Job Description

we require candidates to Develop unique and informative content for Digital Marketing blogs, articles, and websites. Create edit and revise existing blogs.
Skill

• Excellent overall English writing skills
• Impeccable spelling and grammar
• expertise with keyword placement and other SEO practices
• excellent research, organizational, and learning skills
  
  

Desired Candidate Profile
*Graduate with Superior English writing and editing skills
*Passion for content creation

Job Description

• Write content for articles, blogs, press releases, forums, etc. as per the requirement.
• Research and develop new ideas for the creation of high-quality content.
• Proofreading, and editing of the content on a regular basis.

Job Description : PROFESSIONAL QUALIFICATIONS / SKILLS 1) 2 - 4 years of extensive experience in developing Client-Server (Web) applications using Java and J2EE Technologies 2) Expertise in developing applications using JDBC/DBCP2 3) Very Strong Core Java ( Collections, multithreading etc) 4) Expertise in Java Server programming 5) Must have work experience in RESTful Web services 6) Strong in OOPS and designing solutions 7) Good in MYSQL queries scripting and database concepts 8) Good problem solving ability 9) Ability to debug complex issues 10) Hands on in Git 11) Comfortable in working in Linux environment 12) Understanding of JSON 13) Experience in Tomcat 14) Experience in using tools like Eclipse, IntelliJ Good to have: 1) Caching concept and hands-on 2) AWS 3) Messaging Queue (JMS/SQS etc) 4) NoSQL database Thank you

Job brief: We are looking for an QA for Automation who possesses a passion for pushing Web technologies to the limits. This QA will work with our team of talented engineers to design and build the next generation of our Web applications. Works closely with other app development and technical teams. As a QA engineer, you should review requirements, design specifications or stories to provide timely and meaningful feedback. You will work independently to create detailed, comprehensive and well-structured test plans and test cases. Our development strategy is agile, you will be working on improving features testing them. Skills: * Should have excellent manual testing skills. * Good knowledge in automation testing using Selenium WebDriver. * Should have good written & communications skills to write the test cases and documentation. * Good Analytical skill, Proactive, Capability of thinking through a scenario. * Knowledge in mobile automation testing using Appium is a plus point. Responsibilities: Creation of automated test scripts to reduce the amount of time and effort spent on testing. Strongly adhere to specification and style guides. Ensure the application meets the performance, quality and targets. Leverage new and established testing methodologies. Translate the given design document into proper Test Cases for maintainability. Work hand-in-hand with developers to understand the flow of modules and document it. Execution of test cases/test scripts for manual/automation testing. Should have working knowledge of SQL server. Design and create test conditions and scripts to address business and technical use cases. Analyze data and results of tests, record defects, provide status. Document, track and escalate issues as appropriate, using JIRA or similar tools/means. Participate in troubleshooting and triaging of issues with different teams to drive towards root cause identification and resolution. Build Deployment on Test Environment. Requirements: Experience in end-to-end user testing for minimum 1-2 yrs. Have prior experience with manual testing in web and Android applications. Logging bugs, detailed test reports, screenshots, and videos in the bug tracker during pre-release and post-release testing. User & usability testing on the design prototypes being passed to the development team. Well versed with Agile testing methodologies. Opportunity to define, design, tool and implement entire Automated testing using Selenium/TestNG/Appium or any other tool of choice. Ability to stick to deadlines. Manage regular exploratory testing campaigns by employing a large number of short-term remote testers. Ability to operate in white-spaces where ambiguity or lack of knowledge might be imminent in tackling problems. In short, love the entire startup experience. Good Knowledge of Core Java. Good Knowledge in Selenium. Troubleshoot problems related to scripts, framework components,application changes, etc., and repair issues. Experience in working with Agile Projects and Scrum Process. Enable and/or perform development of test automation by designing and writing automated test scripts based on defined test cases,including the definition of test data for consumption by scripts during test execution. Must have experience in writing TDD and BDD test cases. Analyze test logs, and report test results/metrics.