Manager - Offline Marketing
at ZipLoan
5 - 7 yrs
Best in industry
Remote, Delhi, Gurugram, Noida
Skills
Marketing
Marketing Strategy
offline
Role:
1. Manage team of offline marketing associates across 10+ cities.
2. Plan detailed monthly work plan for offline marketing associates.
3. Establish, track and achieve the day to day valid business leads’
generation target.
Desired Profile:
1. 5+ years of overall professional marketing experience in Finance Industry
2. Should have prior experience of marketing to MSME customers
3. Bachelor or Master’s degree
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About ZipLoan
Founded :
2015
Type :
Products & Services
Size :
100-1000
Stage :
Raised funding
About
ZipLoan was set up in 2015 with a mission to ensure easy availability of unsecured Working Capital to small business owners in India. Our technology enabled platform allows us to offer credit in a fast and hassle free manner.
We are solving the fundamental problem of these small business owners i.e. getting easy access to finance when they need it.
Read more
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classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
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Boosting, Trees, text mining, social network analysis, etc.
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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.
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● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
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networks, etc.) and their real-world advantages/drawbacks.
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Kafka)
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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.
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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
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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
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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.
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● 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.
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from large data sets.
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classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
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● 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.
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● 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,
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● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
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● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
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● 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.
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● 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.
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Read more
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Read more
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Operations
Project planning
Project Management experience in Metro Train manufacturing company,should have handled entire project from production to supply of final product.Should have experience in managing clients,billing,procrument,vendors and contract negotitaions.
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Chennai
3 - 6 yrs
₹5L - ₹10L / yr
Angular (2+)JavaSpring BootLooking for a Full Stack Java Developer with Spring Boot and Angular.Js Experience
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Gurugram, NCR (Delhi | Gurgaon | Noida)
1 - 3 yrs
₹3L - ₹6L / yr
Sales
English Proficiency
Inside Sales
Sales Operations
About Us: Camp K12 is an ed-tech startup founded by an MIT/Harvard computer science grad and the ex-CEO of Apple India, bringing coding and 21st-century skills to students Age 6 - 18 around the globe, via LIVE online courses and in-person programs. We were India's first coding boot camp for school kids in 2011, and today are a leader in the K-12 education space, making cutting-edge tech like AI, 3D/Virtual Reality programming, Web & Mobile App Development, accessible to young students via our custom-built technology platforms. We've taught over 50,000+ students, worked with 200+ schools nationwide, and collaborated with institutions like Google, Adobe, IIM Bangalore, IIT Delhi, and more to inspire an entire generation of young makers and doers.We are actively recruiting across all functions -- marketing, sales, BD, design, software development. If you share our vision for redefining school education, come and join us.Learn more: https://campk12.liveJob Description- Managing Sales Operation- Discuss the technical setup - Assess customer's technical readiness to run a live course on their laptops- Customer follow-ups Education :- Graduate with knowledge of computers and overall tech savviness - Strong English communication - Minimum one year of similar experience Benefits :- Easy product to sell, people love us! - Personal development under the hands of an experienced team - Opportunity to grow with the company, we are growing ~10X YoY - High energy work culture - Great perks
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Pune
4 - 7 yrs
₹5L - ₹10L / yr
Angular (2+)JavascriptTypeScript
HTML/CSS
Bootstrap +1 more
Front end Technologies: In-depth knowledge of HTML 5, CSS 3, Javascript, Jquery, Typescript, Ajax.Expertise in Angular 2/4 with special emphasis on UI development.Hands on experience in using Bootstrap, Materialize CSS, Other Responsive web design css framework.Well versed in software engineering principles, frameworks and technologies.Up-to-date with the latest UI trends, techniques and technologies.Excellent time-management, multi-tasking and communication skills.Experience on working in and Agile/Scrum development process.GIT/SVN will be an addon
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