
Their services are available across the globe, with over 65% of their client base being from US, UK, and Canada. The company's primary focus is on Ayurveda and taking the ancient knowledge to anyone who wishes to bring back balance to their health and apply the tools in their everyday life.
What you will do:
- Researching on topics that are of interest to the target audience
- Writing compelling content for email campaigns, landing pages and communication with customers
- Proofreading, editing and improving content created by others and ensure brand consistency
- Working alongside team members to come up with concepts and ideas to increase revenue
- Ensuring correct grammar and spelling throughout content and website
Desired Candidate Profile
What you need to have:- Demonstrable copywriting skills and an interest or love for natural skincare, health and wellness
- Willingness to broaden your expertise and go the extra mile
- Problem solving ability
- Understanding of copywriting for direct response marketing (training will be given in-house)
- Degree in English Literature or relevant field
- Excellent writing skills in English
- Good organizational, self- and time-management skills

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Job Description:
- This is BPO Night shift job (US Voice process) in Nagercoil.
- This is purely night shift with fix saturday sunday off .
- This is not sales or tele marketing, it is to help the US citizens .
- It is work from office only. with salary range 15000 to 25000 per month along with unlimited incentives based on leads that you generate.(per lead you get Rs 500)
Responsibilities:
- Handle outbound calls to international customers.
- This is US Government project that you will be working on where you get the details of customers and complete the further process.
- Maintain accurate and detailed records of customer interactions and transactions.
- Collaborate with team members to achieve individual and team goals.
- Strive to achieve customer satisfaction and ensure positive feedback.
Requirements:
- Freshers and Experienced both can apply.
- Excellent communication skills / Fluency in English.
- Ensure Timely& Professional Responses to all queries.
- Strong ability to multitask and take fast decisions independently.
- Night shift only.(7.30 PM to 4.30 AM.)
Benefits:
- Competitive salary + incentives.
- After shift Drop facility for females only.
- ESI, PF, and insurance benefits
Job Responsibilities & Duties:
- Seminars for Career Guidance.
- Student counseling for career guidance.
- Advise students and parents about institute’s policies and procedures regarding admission, academics, and other activities.
- Maintain a database of student information, telephone logs and student feedbacks in order to generate student reports.
- Prepare reports and proposals, and respond to inquiries from students and external agencies.
- Tele calling to Potential Students for career guidance.
- Invite Potential Students for campus visit and admission Process (Entrance test, GDPI & Final Admission)
- Accepting and filtering student applications
- Processing student registration and payment
- Communicate with applicants about their application status, including acceptance/rejection
- Performs miscellaneous job-related duties as assigned.
- Content Development for E-Mails, Broachers & Websites
Minimum Job Requirements:
- Bachelor's degree; at least 3 year of experience directly related to the duties and responsibilities specified.
- Completed degree(s) from an accredited institution that are above the minimum education requirement may be substituted for experience on a year for year basis.
Knowledge, Skills and Abilities Required:
- Ability to develop and deliver presentations.
- Strong interpersonal and communication skills and the ability to work effectively with a wide range of constituencies in a diverse community.
- Ability to gather data, compile information, and prepare reports.
- Ability to communicate effectively, both orally and in writing.
- Knowledge of student admission and retention issues.
- Knowledge of the broad spectrum of available university academic units, curricula, and programs.
- Ability to develop, plan, and implement short- and long-term goals.
- Organizing and coordinating skills.
- Skill in the use of computerized systems and databases.
- Ability to design and write promotional material.
- Ability to evaluate student transcripts and/or records.
- Knowledge of Institute admissions policies, standards, and procedures.
What We Can Offer You
● Young and fast-growing company with a healthy work-life balance
● Great culture based on the following core values
○ Ownership
○ Transparency
○ Courage
○ Customer Obsession
○ Celebration
● Lean structure and no micromanaging. You get to own your work
● The company has turned two so you get a seat on a rocket ship that's just taking off!
● High focus on Learning & Development and monetary support for relevant upskilling
● Competitive compensation along with equity ownership for wealth creation
What You’ll Do
• Provide world-class customer service to both internal and external clients in all
interactions, striving to exceed client expectations.
• Take ownership of customers issues and follow problems through to resolution
within the SLA defined.
• Drive higher NPS through quality and timely resolution of customer issues.
• Coordinate across different departments and follow-up with them to ensure timely
resolution of user service requests.
• Coordinate with other departments to understand internal processes and suggest
changes if required to improve customer service.
• Maintain an orderly workflow according to priorities
• Ability to handle a high volume of requests in a fast-paced environment
• Explain and educate users about Grip’s offerings and its benefits
• Enable RMs manage and nurture relationship with existing and potential investor
• Other duties as assigned
Your Superpowers
• Bachelor’s degree
• Have an understanding of the wealth segment and product offerings (3-5 years’ work
experience in customer service)
• Command on MS Excel
• Strong written and verbal communication skills and ability to communicate with Retail,
HNIs, family office investors would be essential
• Strong phone presence
• Prior experience in financial services industry is preferred
• Should be a team player
Responsibilities :
Build awesome web experiences using React.js
Plan and accommodate all mediums, screen sizes and device types
Build in flexibility and customization from the start
Internalize the user and promote good usability and accessibility in every experience
Be nimble and react quickly to changing business conditions
Work with product managers, content producers, QA engineers and release engineers to own your solution from development to production
Qualifications :
5+ years building web and/or mobile experiences with evidence of exceptional ability
Bachelor’s Degree in Computer Science or related field, or equivalent experience or other evidence of exceptional ability
Solid understanding of fundamental web technologies such as HTTP, REST, AJAX and JSON.
Strong proficiency in JavaScript / ES6, including DOM manipulation and the JavaScript object model
Thorough understanding of React.js and its core principles
Unit Testing with Jest/Enzyme
Experience with Redux
Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
Experience working with RESTful APIs
Experience with Nodejs, Expressjs or NextJs
Excellent mastery of web standards, cross-browser compatibility, accessibility and SEO.
Strong CSS skills w/ experience building responsive applications across a variety of browsers and devices using modern CSS3 techniques
Ability to identify tasks which require automation and automate them
Expert knowledge of maintaining and debugging live software systems
Prior experience with Symfony MVC frameworks desirable.
-
- Key Result Areas
- Develop and lead desktop and mobile web Back end development.
- Work on Node JS platform.
- Strong focus on UI Performance: optimize page load, rendering, caching, leveraging CDNs.
-
- Technology Skills:
- Advanced Javascript, CSS, HTML 5, D/XHTML, XML, JSON, DOM Concepts
- Must have worked on a SPA frameworks:Nodejs, AngularJS or InfernoJS
- Familiarity with common Javascript Libraries such as jQuery.
- Fluent in responsive design and mobile / tablet UI / UX
- Knowledge about UI testing automation
- Web mobile (touch devices: mobiles and tablets) experience is expected
- UI or API Performance: should have hands-on experience of optimizing page load, rendering,caching.
- Good understanding of AJAX and its UI implications
- Sense for appeal & aesthetics from a usability perspective
About us
DataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
Data Science@DataWeave
We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
What do we offer?
● Some of the most challenging research problems in NLP and Computer Vision. Huge text and image
datasets that you can play with!
● Ability to see the impact of your work and the value you're adding to our customers almost immediately.
● Opportunity to work on different problems and explore a wide variety of tools to figure out what really
excites you.
● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible
working hours.
● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.
● Last but not the least, competitive salary packages and fast paced growth opportunities.
Who are we looking for?
The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem.
You are also expected to develop capabilities that open up new business productization opportunities.
We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.
If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.
Key problem areas
● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.
● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.
● Document clustering, attribute tagging, data normalization, classification, summarization, sentiment
analysis.
● Image based clustering and classification, segmentation, object detection, extracting text from images,
generative models, recommender systems.
● Ensemble approaches for all the above problems using multiple text and image based techniques.
Relevant set of skills
● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,
optimization, algorithms and complexity.
● Background in one or more of information retrieval, data mining, statistical techniques, natural language
processing, and computer vision.
● Excellent coding skills on multiple programming languages with experience building production grade
systems. Prior experience with Python is a bonus.
● Experience building and shipping machine learning models that solve real world engineering problems.
Prior experience with deep learning is a bonus.
● Experience building robust clustering and classification models on unstructured data (text, images, etc).
Experience working with Retail domain data is a bonus.
● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.
● Experience working with a variety of tools and libraries for machine learning and visualization, including
numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
● Use the command line like a pro. Be proficient in Git and other essential software development tools.
● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
● It's a huge bonus if you have some personal projects (including open source contributions) that you work
on during your spare time. Show off some of your projects you have hosted on GitHub.
Role and responsibilities
● Understand the business problems we are solving. Build data science capability that align with our product strategy.
● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.
● Build robust clustering and classification models in an iterative manner that can be used in production.
● Constantly think scale, think automation. Measure everything. Optimize proactively.
● Take end to end ownership of the projects you are working on. Work with minimal supervision.
● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.
● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.
● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.
● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.









