
Primary Customer Facing Responsibilities:
- Handle customer service and support tickets efficiently, acting as the first point of contact over phone or email.
- Proactively communicate with customers regarding post-purchase support, including order installation, refunds, and payment issues.
- Utilize our client ticketing system to ensure prompt and effective resolution of customer queries.
Key Responsibilities:
Case Analysis and Critical Thinking:
- Develop comprehensive knowledge of client products and the ticketing system.
- Conduct thorough investigations to fully understand user issues, employing effective probing techniques.
Problem Solving:
- Provide accurate information and solutions for client software products or services.
- Offer alternative solutions when necessary, guiding users through the resolution process.
Post-Resolution Follow-Up:
- Ensure customer satisfaction by following up and updating customer status before case closure.
Client and Operational Responsibilities:
- Coordinate with team leads and managers for guidance on escalated cases.
- Record detailed events and problem resolutions in system logs.
- Forward customer feedback and suggestions to the appropriate internal team.
- Suggest improvements to processes and knowledge resources.
- Participate actively in team meetings and maintain effective communication with internal teams.
- Report to client leads and managers as required.
Requirements:
- Experience in help desk, software product support, and customer service.
- Tech-savvy with knowledge of computer operating systems, software, and hardware.
- Excellent written and verbal communication skills in English.
- Degree in a relevant field preferred.
- Proficient with Microsoft Office, Google Sheets, and other business software.
- Own a desktop/laptop with a stable internet connection.
- Demonstrated proactive, learning-oriented approach, with a focus on continuous process improvement.
Additional Information:
- This is a fully remote position with a 5-day work week.
- Requires approximately 9 hours of work per weekday.
- Compensation is competitive and billed hourly.
- Opportunity for long-term growth and additional responsibilities within the organization.
Our Commitment:
We value diversity and are committed to creating an inclusive environment for all employees. We encourage candidates of all backgrounds to apply.
Benefits:
- Work-from-home flexibility.
- Career advancement opportunities and professional development support.
- Supportive and collaborative team environment.
Application and Selection Process:
Initial Application:
- Interested candidates should submit their resume along with a cover letter detailing their relevant experience and why they are a good fit for this role via the Cutshort Application Portal.
Written Assessment:
- Selected candidates will be invited to complete a written assessment. This assessment is designed to evaluate technical and customer service skills and must be completed within 2 hours of commencement to ensure authenticity. Instructions and a deadline for the assessment will be provided upon selection.
Virtual Interview:
- Candidates who successfully pass the written assessment will be invited to a virtual interview with key stakeholders. This round will focus on assessing cultural fit, communication skills, and problem-solving abilities.
Onboarding and Training:
- Candidates who clear the interview stage will proceed to onboarding and training, marking the final stage of the selection process. This phase will familiarize them with company policies, tools, and the specific responsibilities of their role.
About Inevolution
Founded in 2009, InEvolution is a dynamic and evolving firm specializing in back-office, operations, and customer support services. We are a globally oriented team committed to delivering quality services with cost efficiency. Our ethos is to constantly adapt to the changing needs of the industry, effectively serving as an extension of our clients' teams.
We specialize in alleviating operational burdens from organizational leaders, allowing them to focus on growth. Our expertise spans across 24/7 client support, advanced technology utilization, proficient data management, and providing certified solutions. Our services include data hygiene, GDPR compliance, e-commerce campaign configuration, order management, reporting, sales support, and comprehensive customer support across various platforms. With our diverse experience in multiple business sectors, we offer robust solutions that cater to the unique needs of our clients.
Company Web : https://inevolution.in/

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· Handle technical questions during demonstrations.
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Role Description:
We are seeking a friendly, organized, and proactive Front Desk Executive to be the first point of contact for all visitors and clients. In this role, you will ensure a smooth and welcoming experience for all visitors, students, and staff. The ideal candidate will possess excellent communication skills, have a professional demeanour, and thrive in a fast-paced environment.
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We are looking for smart candidates in field of Accounts. (Location Bandra, Mumbai)
Our current requirements are ;
Job Description – Accounts Executive.
Department Accounts.
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Reporting to Accounts & Finance Head / Company Director
Job Description
Entries of purchase, sales, cash & journal.
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Excel.
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communication and working on Accounting
Software.
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compliance.
Language skills English, Hindi.
Compensation Offered Entirely depending upon the competency and
capability of the candidate.
ACCOUNTS EXECUTIVE
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working hours 10am -7pm
Holiday Sunday
Salary 3 to 3.5 lacs per annum
gender any
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Job Summary
Condé Nast is seeking an experienced and highly motivated Software engineer-ML who will support
productionizing projects in a databricks environment for the data science team. We expect the person
to be a software/data engineer experienced in building robust ML systems & deploying ML pipelines
in production, Study and transform data science prototypes into an engineering product and is
knowledgeable about machine learning models.
**This role is NOT for building Machine Learning models **
Primary Responsibilities
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pipelines ● Designing and developing Machine Learning Systems
● Keep abreast of developments in the field
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Design and code highly scalable, machine learning frameworks processing large volumes of data
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Collaborate with other Machine Learning Engineers and Data Scientists in architecting &
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machine learning and big data
● Understanding of data structures, data modeling and software architecture
● Strong software development skills with proficiency in Python/Pyspark
● Experience with Big Data technologies such as Spark, Hadoop
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skill ● Excellent communication skills
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About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing history. With a
portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker and Bon Appétit, we at Condé Nast
aim to tell powerful, compelling stories of communities, culture and the contemporary world. Our
operations are headquartered in New York and London, with colleagues and collaborators in 32 markets
across the world, including France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and Latin
America.
Condé Nast has been raising the industry standards and setting records for excellence in the publishing
space. Today, our brands reach over 1 billion people in print, online, video, and social media.
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social platforms -
in other words, a staggering amount of user data. Condé Nast made the right move to invest heavily in
understanding this data and formed a whole new Data team entirely dedicated to data processing,
engineering, analytics, and visualization. This team helps drive engagement, fuel process innovation,
further content enrichment, and increase market revenue. The Data team aimed to create a company
culture where data was the common language and facilitate an environment where insights shared in
real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at Condé
Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost online
revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data Science, and
Operations (including Product and Marketing Ops, Client Services) along with Data Strategy and
monetization. The teams-built capabilities and products to create data-driven solutions for better
audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We are a
media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.

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