
Job Opportunity:
Male or Female Security Guard at Siruseri for G4S Secure Solution Pvt Ltd
Qualification - 10th, 12th or any degree
Experience - Open to both freshers or experienced candidates
Note - Accommodation available

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We are looking for a creative and detail-oriented Web Designer with 1 to 3 years of experience to design and enhance visually appealing, user-friendly websites. The ideal candidate should have a strong understanding of UI/UX principles, be proficient in design tools, and have a passion for creating responsive and engaging web designs.
Key Responsibilities:
- Design and develop website layouts, user interfaces, and page templates using modern design tools.
- Create wireframes, prototypes, and mockups based on project requirements.
- Ensure responsive design and browser compatibility across multiple devices and platforms.
- Collaborate with developers to implement designs using HTML, CSS, and JavaScript.
- Design and optimize graphics, images, and other multimedia content for the web.
- Conduct usability testing to ensure a seamless user experience.
- Stay updated with the latest web design trends, tools, and technologies.
- Work closely with content writers, developers, and marketing teams to align design with business goals.
- Test and troubleshoot design elements for any technical or visual issues.
Preferred Skills:
- Experience in designing for e-commerce or CMS platforms like WordPress or Shopify.
- Knowledge of SEO and web performance optimization techniques.
- Understanding of version control systems (e.g., Git).
- Animation or motion graphics experience is a plus.
Why Join Us?
- Opportunity to work on exciting and diverse web projects.
- Collaborative and dynamic team environment.
- Continuous learning and growth opportunities.

Requirements
- 3+ yrs experience in Reactjs (frontend) and Nodejs (Backend) along with good experience in MongoDB.
- Past experience scaling projects from prototype to hundreds of thousands / millions of users is a plus.
- Strong communication skills and past experience leading developers is crucial.
Note:- Remote working is applicable


Srijan Technologies is hiring for Delivery Manager - Data Science/Data Engineering
with a permanent WFH option.
Notice: Immediate joiners or candidates with 30 days of notice period are preferred.
Required Skills/Experience: • Overall Experience of 10+ years in the Industry • Good experience in Agile methodology • Experience in delivering Data engineering and data integration projects is a must • Experience in delivering Analytical programs is a must • Experience in delivering AI / ML projects will be an added advantage • Analytical skills • Well-developed interpersonal skills • Commercial awareness • Effective Communication • Team working skills • Ability to motivate people • Management and leadership skills

The present role is a Data engineer role for Crewscale– Toplyne Collaboration.
Crewscale is exclusive partner of Toplyne.
About Crewscale:
Crewscale is a premium technology company focusing on helping companies building world
class scalable products. We are a product based start-up having a code assessment platform
which is being used top technology disrupters across the world.
Crewscale works with premium product companies (Indian and International) like - Swiggy,
ShareChat Grab, Capillary, Uber, Workspan, Ovo and many more. We are responsible for
managing infrastructure for Swiggy as well.
We focus on building only world class tech product and our USP is building technology can
handle scale from 1 million to 1 billion hits.
We invite candidates who have a zeal to develop world class products to come and work with us.
Toplyne
Who are we? 👋
Toplyne is a global SaaS product built to help revenue teams, at businesses with a self-service motion, and a large user-base, identify which users to spend time on, when and for what outcome. Think self-service or freemium-led companies like Figma, Notion, Freshworks, and Slack. We do this by helping companies recognize signals across their - product engagement, sales, billing, and marketing data.
Founded in June 2021, Toplyne is backed by marquee investors like Sequoia,Together fund and a bunch of well known angels. You can read more about us on - https://bit.ly/ForbesToplyne" target="_blank">https://bit.ly/ForbesToplyne , https://bit.ly/YourstoryToplyne" target="_blank">https://bit.ly/YourstoryToplyne.
What will you get to work on? 🏗️
-
Design, Develop and maintain scalable data pipelines and Data warehouse to support continuing increases in data volume and complexity.
-
Develop and implement processes and systems to supervise data quality, data mining and ensuring production data is always accurate and available for key partners and business processes that depend on it.
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Perform data analysis required to solve data related issues and assist in the resolution of data issues.
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Complete ownership - You’ll build highly scalable platforms and services that support rapidly growing data needs in Toplyne. There’s no instruction book, it’s yours to write. You’ll figure it out, ship it, and iterate.
What do we expect from you? 🙌🏻
-
3-6 years of relevant work experience in a Data Engineering role.
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Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
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Experience building and optimising data pipelines, architectures and data sets.
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Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
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Strong analytic skills related to working with unstructured datasets.
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Good understanding of Airflow, Spark, NoSql databases, Kakfa is nice to have.
1. Calling Leads
• Call on parent leads through your CRM
• 60-75 leads are to be called daily
2. Generating trial classes
• Pitch to the parents to take PlanetSpark Trial Class
3. Take counselling sessions and convert them
• Conduct counselling sessions for parents who take trial classes
• Close the sale through smart and strategic approach
• Generate Revenue (3L+ per month)



- Creating C#.NET windows Desktop (WPF) applications to meet project specifications
- Must have experience in windows UI
- Co-ordinating design, development, testing, debugging and implementation of .NET projects
- Database Interaction (MongoDB Server)
- Looking for professional who have experience with C#
- .Net, web Api & knowledge of web-based framework will be preferred.
- Good understanding on requirements gathering and detail orientation.
- Strong understanding on UI best practice and usability concepts.
- Hands on experience on user control and custom controls.
Mandatory Key Skills: C# , windows UI, Windows application development (WPF), strong windows UI development skills with usability understanding.
Required Experience, Skills and Qualifications
- 1+ years of experience using C#, windows UI
- Experience with Custom Windows UI component library will be preferred.
- Candidate with knowledge of, web-based framework will be preferred (plus point)
- Implementation of typical User-Interface module and business logic component in the project using C#
- Good communication skills are needed.
Keypoints to be noted:
Must have knowledge/experience of below:
C#
- Background worker and task(for running any process/task backend without interruoting/hanging UI)
- Utilize common/globalmethods
- Async/sync methods
WPF
- Create custom/user control(MUST)



- Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
- Implement data pipelines, new features, and algorithms that are critical to our production models
- Create scalable strategies to deploy and execute your models
- Write well designed, testable, efficient code
- Identify valuable data sources and automate collection processes.
- Undertake to preprocess of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns.
Requirements:
- 2+ years of experience in applied data science or engineering with a focus on machine learning
- Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
- strong quantitative and programming skills with a product-driven sensibility



