Customer Support executive

Job Description:

We are seeking a skilled Shopify App Developer with experience in React/Remix and a strong foundation in HTML, CSS, JavaScript, and jQuery. The ideal candidate will be responsible for building and maintaining custom Shopify applications, enhancing user interfaces, and ensuring seamless e-commerce experiences for our clients. This role requires a strong understanding of Shopify’s ecosystem, combined with frontend development skills to deliver high-quality, scalable solutions.

Key Responsibilities:

• React Develop, test, and maintain custom Shopify apps to enhance store functionality.
• Collaborate with the design and product teams to implement responsive and user-friendly UI/UX features.
• Utilize React and Remix frameworks to build dynamic, interactive web applications.
• Write clean, modular, and scalable code using HTML, CSS, JavaScript, and jQuery.
• Integrate third-party APIs and manage data securely within Shopify.
• Optimize applications for speed and scalability across various devices and browsers.
• Stay updated on Shopify platform updates, best practices, and industry trends.
• Develop, test, and maintain custom Shopify apps to enhance store functionality.
• Collaborate with the design and product teams to implement responsive and user-friendly UI/UX features.
• Utilize React and Remix frameworks to build dynamic, interactive web applications.
• Write clean, modular, and scalable code using HTML, CSS, JavaScript, and jQuery.
• Integrate third-party APIs and manage data securely within Shopify.
• Optimize applications for speed and scalability across various devices and browsers.
• Stay updated on Shopify platform updates, best practices, and industry trends.

Company – Bonanza Portfolio Ltd.

Designation – Franchisee Manager

Good in English communication and Local Language

Job Description:-

1.      Generating revenue through wealth Broking and Assets products through Channel partners / POSP Associates / Franchisee .

2.      Generating revenue from existing channel partners is also desired.

3.      Preferring candidates having experience in direct sales , channel sales .Understanding of Mutual Fund / Insurance / Equity and broking ecosystem is a prerequisite .

4.      New client acquisition, building new relationships and increasing depth in existing relationships with clients.

5.      Selling online broking accounts- Demat account, trading account.

6.      Identifying customer needs, assessing their appetite and providing them investment options.

7.      Cross selling of financial products like Mutual Fund, Insurance, Bonds, etc.

8.      Achieving targets as assigned by the organisation on a monthly basis.

9.      Migrating offline clients to do online trading.

10.  Regular updates to the immediate superior as a when required.

Our Company

Tealbox.Digital is a Marketing-Technology company founded by IIT-Delhi alumni, focused on solving complex problems for businesses operating online. We leverage Paid Media to help clients all over the globe acquire new customers, retain existing ones and maximize customer lifetime value. We have been involved with several pre-sales startups that approached us with the intent to establish their proof of concept and we have enabled those businesses to grow from there to seven-figure turnovers. Our performances have impacted businesses so largely that we were able to set them up to raise capital from large investors. We currently operate in four continents and are growing steadily owing to the current need for businesses to go online and efficient performance marketing solutions to keep this channel sustainable. The businesses we largely work with are small-scale enterprises and startups and we are directly responsible for shaping how their business grows.

TealBox Digital is an Indian startup with a global outlook. We are an equal opportunity employer and are committed to creating exceptional employee experiences. We believe in empowering people by focusing on employee development and investing in continuous learning opportunities. We’re committed to helping people thrive professionally and personally.

Job Description

We are looking for curious individuals who are natural leaders and have the ability to recognise what needs to be done. We require candidates with strong written & verbal communication skills and analytical thinkers. The ideal candidate will need to be able to effectively articulate insights and recommended actions.

In this role,

• You need to analyze and solve increasingly complex business problems.
• You will be working as a part of the Digital Marketing & Customer Analytics team which provides a set of processes that measure, manage and analyze marketing activities in order to provide actionable insights and recommendations to clients’ advertising campaigns to optimize ROI & performance efficiency in operations.
• You will have experience in transforming large amounts of diverse business data into valuable and meaningful information that can be used to support campaign-wise decision-making.
• Design and carry out high quality analysis in service of projects undertaken on behalf of clients and ensure the analysis is presented in a compelling way.
• You will have good written and oral communication skills in English language and the ability to transform data into actionable insights for an audience composed of digital experts, novices and beginners.
• Conceptualize and implement Paid Media strategies to acquire new customers and grow client businesses.
• Stay informed of the relevant industry, paid media, and paid media platform trends and best practices.
• The ideal candidate is someone who enjoys solving problems. They love taking on difficult challenges and finding creative solutions and does not get flustered easily.

Requirements

• Graduates with an aptitude to pick up new skills or 4-6 years’ experience in the marketing segment with a clear understanding of digital marketing or individuals with equivalent/relevant experience.
• Experience with FB Ads, Google Ads, Amazon Ads, Programmatic Buying and other allied tools such as Google Analytics, Google Tag Manager etc, is a plus but NOT mandatory.
• Strong presentation skills and ability to work with diverse stakeholders.
• Ability to analyze large data sets and use analytical skills to create easy-to-understand, actionable insights for business stakeholders.
• Intermediate knowledge/experience with Google Sheets, Google Slides, Google Data Studio, Python, etc.
• Strong math/analytical and quantitative skills.
• Strong problem-solving skills.
• Very strong oral and written communication skills.
• Intermediate knowledge/experience with relational databases and report development.
• Close attention to detail, accuracy, follow-through and excellent organizational skills.
• Proof of ability to take up responsibility and deliver on actions

• Conducting analysis of website and application requirements.
• Writing back-end code and building efficient PHP modules.
• Developing back-end portals with an optimized database.
• Troubleshooting application and code issues.
• Integrating data storage solutions.
• Responding to integration requests from front-end developers.
• Finalizing back-end features and testing web applications.
• Updating and altering application features to enhance performance.

• Bachelor’s degree in computer science or a similar field.
• Knowledge of PHP web frameworks including Yii, Laravel, and CodeIgniter.
• Knowledge of front-end technologies including CSS3, JavaScript, and HTML5.
• Understanding of object-oriented PHP programming.
• Previous experience creating scalable applications.
• Proficient with code versioning tools including Git, Mercurial, CVS, and SVN.
• Familiarity with SQL/NoSQL databases.
• Ability to project manage.
• Good problem-solving skills.

Will be developing mobile and web applications using latest technology. Should be good in analysing requirements and translate into applications. Good in understanding application flows.

Tech Skills –

Mobile technology – Hybrid (Ionic / Cordova / capacitor / flutter), Native (Android / iOS) – Expert level – Should have completed 2-3 full sized complex projects with server component, use of cloud services, use of device native capabilities like camera, accelerometer etc.

HTML, CSS, Bootstrap, Java script – Intermediate level - Good understanding of concepts and should be able to realize application screens based on the UI provided by designers.

MEAN (MongoDB, Express, Angular/React, Node.js) stack – Beginner level - Should have understanding of concepts, good with basics

Role and Responsibilities

• Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
• The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
• Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).

Core Qualifications
Candidates must meet ALL of the following qualifications:

• Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
• Three years of industry work experience, developing data mining models which were deployed and used.
• Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
• Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks

Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:

• Soft Skills
  • Sets expectations, develops project plans and meets expectations.
  • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
• Technical skills
  • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
  • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
  • Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
  • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
  • OpenCV or other image processing tools or libraries
  • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
  • Decision trees like XGBoost or Random Forests is helpful.
  • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
  • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
  • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
  • Experience with PMML is of interest (see www.DMG.org).
• Vertical experience in Industrial Internet of Things (IoT) applications:
  • Energy: Oil and Gas, Wind Turbines
  • Manufacturing: Motors, chemical processes, tools, automotive
  • Smart Cities: Elevators, cameras on population or cars, power grid
  • Transportation: Cars, truck fleets, trains

About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.

Press:  https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/

Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/

• 2019 Edge Computing Company of the Year – Compass Intelligence
• 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
• 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
• 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
• 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
• 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
• 2018 The 10 Most Innovative AI Solution Providers – Insights Success
• 2018 The AI 100 – CB Insights
• 2017 Cool Vendor in IoT Edge Computing – Gartner
• 2017 20 Most Promising AI Service Providers – CIO Review

Our Series A round was for $15 million.  Our Series B round was for $30 million October 2017.  Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.

About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9.  We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects.  About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.

Our data scientists like our team because:

• We care about “best practices”
• Have a direct impact on the company’s revenue
• Give or receive mentoring as part of the collaborative process
• Questions and challenging the status quo with data is safe
• Intellectual curiosity balanced with humility
• Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning