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Create content to be used for blog posts, social media, press releases, and other platforms.
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Research industry-related topics.
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Collaborate/coordinate with the marketing team to prepare various marketing collateral and communications for both public and internal use.
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Compose and develop content for all communication channels and across mediums (digital, print, web).
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Learn the functions of internally developed software to write end-user documentation (such as online help, quick reference guides, and release notes).
REQUIREMENTS- -
Should have a good understanding of SEO best practices to increase traffic to the company website.
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Must have a flair for creative writing
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1-3 years experience in content writing for a B2B company
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Knowledge of tools like Grammarly or equivalent, Keyword research tools
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Knowledge of content distribution is preferred

About Capricorn Identity Services Pvt Ltd
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Title: Product Development Engineer II- BillMe (Razorpay)
About Razorpay :
Razorpay is a rapidly growing platform company powering small and medium scale businesses. We are a finTech startup that emphasizes transparency, collaboration and career growth, with the ability to work on small, nimble teams. The company has rapidly expanded into greenfield areas like neo banking and B2B lending. Our employees are able to create change at scale and have an opportunity to truly disrupt and shape FinTech space. Transaction volumes have been growing at a rapid pace - 5X year-over-year growth over the past few
years.
About Billme (Acquisition of Razorpay) :
BillMe is the world's leading digital billing provider. It was founded by Jai Hemrajani, Kuber Pritmani, and Rupam Jain in 2018. BillMe has now evolved into a "CRM powered by Digital Billing."
BillMe helps over 4000+ businesses like McDonald's, Tata, BurgerKing, and Decathlon send digital bills, collect data, and increase sales and engagement.
BillMe was acquired by Razorpay in 2023. The collaboration between Razorpay and BillMe aims to help retail brands digitalize and seamlessly access omnichannel payment solutions.
Roles & Responsibilities:
To succeed in this role, you’ll need a customer-first attitude and the following:
- A minimum 3 years of hands on experienced in building desktop / client-server applications using programming skill C++, C#, WPF, .NET and SQL
- Good understanding of design patterns.
- Ability to create in depth technical design & implementation of a product feature and work independently on assigned modules
- Utilize version control systems to manage codebase and collaborate with a development team.
- Implement multi-threading and concurrency concepts to enhance application responsiveness.
- Leverage knowledge of Windows architecture for effective software development.
- Utilize SQL databases for data storage and retrieval.
- Develop user-friendly interfaces using WPF (Windows Presentation Foundation).
Qualifications:
- Proficiency in C++, C# and .Net programming languages.
- Proficient understanding of Windows architecture, Rest Api and Git.
- Understanding of SQL databases will be an added advantage.
- Good experience with WPF (Windows Presentation Foundation).
- Strong problem-solving skills, attention to detail, and proactive attitude.
- Good communication skills in English (verbal and written).
If you are a motivated and skilled Software Developer with expertise in C++, C# and WPF, and you are ready to take on challenging work in a dynamic environment, we encourage you to apply. Join us in creating innovative software solutions that make a difference.
-Creating Rest based Backend for both Web & Mobile Apps
-Standard Code Quality
-Can work on both SQL and NoSQL DB
-Familiar with GraphQL
Required Candidate profile
-Experience creating backend using Node.JS-Hands on experience with JavaScript Development on both client and server-side
-Experience with modern frameworks and design pattern
applied research.
● Understand, apply and extend state-of-the-art NLP research to better serve our customers.
● Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models.
● Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business.
● Think creatively to identify new opportunities and contribute to high-quality publications or patents.
Desired Qualifications and Experience
● At Least 1 year of professional experience.
● Bachelors in Computer Science or related fields from the top colleges.
● Extensive knowledge and practical experience in one or more of the following areas: machine learning, deep learning, NLP, recommendation systems, information retrieval.
● Experience applying ML to solve complex business problems from scratch.
● Experience with Python and a deep learning framework like Pytorch/Tensorflow.
● Awareness of the state of the art research in the NLP community.
● Excellent verbal and written communication and presentation skills.
Primary Responsibilities
- Design, architect and develop advanced software solutions in a cross functional Agile team supporting multiple projects and initiatives
- Collaborate with product owners and/or the business on requirements definition, development of functional specifications, and design
- Collaborate on technical design and specifications as required
- Code, test and document new applications as well as changes to existing system functionality and ensure successful completion
Skills & Requirements
- Bachelor’s Degree required, preferably in Computer Science or related field
- 1+ years of Experience working on React.js and its core principles
- Experience with popular React.js workflows (such as Flux or Redux)
- Experience with cloud based technologies like AWS
- Experience with data structure libraries (e.g., Immutable.js)
- Knowledge of isomorphic React is a plus
- Familiarity with RESTful APIs
- Knowledge of modern authorization mechanisms, such as JSON Web Token
- Familiarity with modern front-end build pipelines and tools
- Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
- Ability to understand business requirements and translate them into technical requirements
- A knack for benchmarking and optimization
- Familiarity with code versioning tools(such as Git, SVN, and Mercurial)
We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.
Skills:
- 5+ years deploying Machine Learning pipelines in large enterprise production systems.
- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.
Roles and Responsibilities:
Deploying ML models into production, and scaling them to serve millions of customers.
Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.
Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.
Provide software design and programming support to projects.
Qualifications & Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.
- Proven hands-on Software Development experience
- Proven working experience in Java development
- Hands on experience in designing and developing applications using Java EE platforms
- Object Oriented analysis and design using common design patterns.
Job Roles
Sales :
- Plan and achieve monthly sell out targets
- Achieve Monthly, Quarterly and Yearly Revenue and PM Goals
- Create Weekly/Monthly reports and monitor performance, driven by on-site KPIs
- Conduct Monthly Business review with partners.
- Review and tracking of commercial agreements
Marketing and Onsite Experience :
- Plan Marketing/Promotional calendar with Digital Marketing Manager for Ellementry.com as per quarterly/yearly marketing budgets.
- Actively support and drive the Seasonal Go To Market execution for Ellementry.com
- Constant improvement and actualization of customers on-site experience in alignment with defined GTM strategy
- To Ensure Catalog and Listing Hygiene and achieve high content score
- Charged with and responsible for identifying new ways to improve site conversion, average order size, cart abandonment, and other key performance indicators to maximize sales growth and profitability.
- Provide oversight for managing Affiliate program
KPIs :
- Own e-Commerce projects and work with respective partners and regional/global teams to support the definition, technical implementation, testing, deployment and operations of chosen e-Commerce project.
- Perform cross-platform, cross-browser QA validations on website development releases, acting as the liaison between eCommerce, Global Team, and IT to ensure smooth project planning and delivery.
- Propose and implement websites evolutions - including new content and new features
- Coordinate deployment and UAT.
Qualifications : Diploma / Bachelors degree. Masters degree will be preferable.
Other Job Requirements :
- 3-5 years of experience with minimum 2 years of relevant experience in managing dot com and Marketplace business for a brand.
- Basic technical know how of an E-commerce site and understanding of building/improving E-com sites.
- Good understanding of online marketing opportunities (web, social, e-mail, search, mobile).
- Able to interpret business objectives and successfully incorporate those objectives into projects.
- Good understanding of online marketing opportunities (web, social, e-mail, search, mobile, chat, telephony).
- Good knowledge of web analytics tools such as Google Analytics & GTM.
- Strong verbal and written communication skills.
- Highly organized, task-oriented, business-driven.
- Project management and strong attention to detail skills








