
Technical Writer
As a technical writer, your job is to translate complex information into a language understandable by anyone. You must ensure that everything we deliver can be used by any user, developer, or business owner.
RESPONSIBILITIES
• Develop a deep understanding of Cashfree products, and target audience. Aim to be the expert in the product area you are handling.
• Collaborate with the product team to identify key content requirements.
• Write and maintain high-quality documentation for technical and non-technical audiences, including concept docs, how-to procedures, integration docs, and API reference documentation.
• Collaborate with the product and development team to create user interface text.
• Create videos to explain concepts and procedures in an easy-to-understand format.
• Create and review product-oriented blog posts.
• Organize existing documents, identify gaps, and suggest improvements.
• Analyze usage patterns of documents and suggest ways on improving them.
• Review and revise content based on internal and external customer feedback.
Requirements
• Bachelor's degree in English, communication, linguistics, or bachelor’s degree in engineering.
• 1 to 4 years of experience as a technical writer.
• Experience working with product and UX Designers and writing user interface text
• Strong technical writing skills.
• Experience managing content projects, including coordinating with cross-functional teams.
• Have prior experience with creating videos.
• Familiar with markup languages such as Markdown and HTML

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Job Overview :
We're looking for a Creative Presentation Designer with a strong eye for design, storytelling, and brand consistency.
The ideal candidate should bring experience working on corporate presentations, brochures, emailers, and other marketing/design assets. This role requires proficiency in PowerPoint and Adobe Creative Suite, with excellent communication skills and attention to detail.
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PowerPoint, Adobe InDesign, Illustrator, Photoshop, XD, Presentation Design, Brochures, Emailers, Branding, UI/UX
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- Design engaging and brand-compliant presentations, brochures, and emailers.
- Create infographics, data visualizations, and other digital/print assets.
- Collaborate with global teams to understand briefs and deliver high-quality visuals.
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- Ensure all designs align with corporate brand standards and messaging.
Required Skills :
- Advanced proficiency in PowerPoint and Adobe Creative Suite (InDesign, Illustrator, Photoshop, XD).
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- Familiarity with Keynote, Google Slides, SharePoint, MS Teams.
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Additional Notes :
Please ensure well-aligned resumes are submitted along with portfolio links.
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Key Responsibilities:
- Creating and bringing out quarterly newsletter, case study booklets, annual report
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- Provide support to team members on effective communication practices.
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Requirements:
- Bachelor's degree in Mass Communications
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The ATS Senior Executive will be responsible for managing the Applicant Tracking System (ATS) used by the company to source, screen, and hire candidates. They will work closely with recruiters, hiring managers, Delivery Heads and other stakeholders to ensure the ATS is optimized to meet the company's hiring needs, and that all users of the system are trained on its features and functionality. The ATS Senior Executive will also be responsible for data analysis and reporting to ensure the recruitment process is efficient and effective.
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Job Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
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1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
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1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
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5. Experience in digital advertising is a plus
About Condé Nast
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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As discussed, please provide your Linkedin ID URL & a valid ID proof of yours.
Please confirm as well, you will relocate to Bangalore once required.










