Develop and implement link building strategy
Good written skills
Research and analyze competitor backlinks
Leading keyword research and optimization of content
Should be able to support on other digital marketing activities like On-Page SEO, Social Media Optimization (SMO) and Content Writing
Knowledge in Guest Post Outreach
Assisting with blog content
Should be result orientated
Shubham Vishwakarma
Full Stack Developer - Averlon
About KreateCube
About
KreateCube helps you find the right interior, architectural designers and firms to build & design your property as per your preferred location within your budget. We also help professionals to grow their businesses by connecting them with homeowners and businesses.
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Job description
LXL Ideas transforms education through innovative programs and events. We are looking for an Inside Sales Manager to drive sales of subscriptions and memberships to schools and promote participation in our educational events.
Role Overview:
The ideal candidate will be responsible for lead generation and building a pipeline of high-quality prospects. As a manager, you will oversee the inside sales team and act as a strategic partner, focusing on long-term sales strategies.
Key Goals:
- Achieve Sales Targets: Meet or exceed sales quotas and targets set by the company, often measured in terms of revenue, number of deals closed, or new business acquired.
- Generate Leads: Identify and qualify potential business clients through various methods such as cold calling, email campaigns, and social media outreach.
- Build and Maintain Relationships: Develop strong relationships with key decision-makers within client organizations to facilitate long-term business partnerships and repeat sales.
- in: Implement strategies to ensure high levels of customer satisfaction and loyalty, aiming to reduce churn and increase upsell opportunities.
- Expand Market Share: Identify and penetrate new market segments or geographic areas to broaden the company’s customer base.
Responsibilities:
- Lead Generation: Research and identify potential leads, conduct outreach to prospects, and create opportunities for initial contact and engagement.
- Sales Presentations: Conduct virtual or in-person presentations and demonstrations of products or services to potential clients, highlighting the value and benefits relevant to their needs.
- Proposal Development: Prepare and deliver tailored proposals, including pricing and contract terms, that address the specific requirements of each client.
- Negotiation and Closing: Negotiate terms and conditions of sales agreements, handle objections, and close deals to achieve sales targets.
- CRM Management: Use Customer Relationship Management (CRM) software to track interactions, manage the sales pipeline, and maintain accurate records of client communications and progress.
- Market Research: Stay informed about industry trends, competitor activities, and market conditions to effectively position the company’s products or services.
- Collaboration: Work closely with marketing, customer service, and product teams to ensure alignment in messaging, support, and delivery of client solutions.
- Reporting: Provide regular updates and reports on sales activities, pipeline status, and performance metrics to management.
- Customer Service: Address and resolve any issues or concerns from clients promptly and professionally to ensure a positive experience and ongoing relationship.
- Training and Development: Continuously improve sales skills and product knowledge through training, workshops, and self-study to stay competitive and effective in the role.
Qualifications:
- Bachelor’s degree or equivalent experience.
- 2-3 years of relevant management experience.
- Excellent communication skills.
- Strong team player.
- Self-starter with a proactive approach.
An Inside Sales Executive in a B2B environment needs to be highly motivated, persuasive, and skilled in relationship-building to succeed in this dynamic and challenging role.
What you’ll do:
➡️ Counsel students and parents on academic programs
➡️ Handle inbound inquiries and make outbound follow-ups
➡️ Understand learner needs and recommend suitable programs
➡️ Schedule demos, counselling sessions, and ensure timely responses
➡️ Build long-term relationships with prospective learners
What we’re looking for:
➡️ Experience in admissions counselling, EdTech, or higher education
➡️ Strong communication & consultative selling skills
➡️ Comfort with calls, follow-ups, and lead conversion
➡️ Student-first mindset with empathy and ownership
JavascriptWe are looking for an experienced and highly motivated Senior Automation Test
Engineer/Lead with proven expertise in WebdriverIO / Playwright using
JavaScript. You will be responsible for creating scalable automation frameworks,
executing tests across web and API layers, and integrating testing into CI/CD
pipelines in Agile environments.
Key Responsibilities:
• Design and develop automation frameworks using WebdriverIO /
Playwright(JavaScript).
• Collaborate with developers and QA teams to define and implement test strategies
across UI and API layers.
• Automate test cases for functional, regression, and integration testing for web
applications.
• Perform cross-browser, cross-platform, and responsive testing.
• Build and maintain scalable test scripts and integrate them with CI/CD pipelines
(Jenkins, GitHub Actions, GitLab CI).
• Conduct API Automation using WebdriverIO / Playwright(JavaScript) and
validate backend services.
• Create detailed, comprehensive, and well-structured test plans and test cases.
• Troubleshoot issues, identify root causes, and ensure quality across releases.
Required Skills:
• 3+ years of experience in test automation with expertise in WebdriverIO /
Playwright(JavaScript).
• Strong understanding of modern automation frameworks like POM, BDD, or hybrid
models.
• Proficiency in scripting and writing automation tests in Java, JavaScript
• Experience in API automation testing using WebdriverIO /
Playwright(JavaScript).
• Familiarity with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.
• Solid grasp of Agile methodologies and working in a Scrum team.
• Version control using Git or Bitbucket.
FICA (AM – FICA)
- SAP IS-U FICA Functional Support
Ø Conceptualizing & Mapping of Business Scenarios
Ø Business requirement understanding same to be given to developer
Ø Functional support for all Collection(FICA) processes.
Ø Having expertise & understanding the migration activity
• SAP IS-U Developments
Ø Preparing Functional Specification Document
Ø Implementation/Execution of developmental logic
Ø Technical / Functional testing of IS-U FICA developments
• SAP Roles & Authorization
Role assignment to user ,New role/object/field creation according to requirement.
Java
Spring BootLocation: Bangalore
Experience: 7-10 years
Job Type: Full-time
Overview:
We are seeking a skilled Java Lead with 7-10 years of experience for our Bangalore office. The ideal candidate will have a strong background in Java development, team leadership, and client-facing roles.
Key Responsibilities:
- Lead a team of Java developers, providing guidance and mentoring to ensure high-quality code and timely delivery.
- Collaborate with clients to understand requirements, present solutions, and manage expectations.
- Design, develop, and maintain complex Java-based applications.
- Ensure the team adheres to best practices in coding, testing, and documentation.
- Manage project timelines, deliverables, and resources effectively.
- Troubleshoot and resolve technical issues, ensuring smooth project execution.
Required Skills:
- Java Development: Extensive experience in Java, including frameworks like Spring and Hibernate.
- Team Leadership: Proven ability to lead and mentor a team of developers.
- Client Interaction: Strong client-facing skills with experience in requirement gathering and solution presentation.
-Project Management: Experience in managing project timelines and resources.
Preferred Qualifications:
- Experience with microservices architecture and cloud platforms.
- Familiarity with agile development methodologies.
.NET
MongoDB
XML#HiringAlert
We are looking ".Net Architect" for Reputed Client @ Permanent Role
Experience: 10+ Years
Skills :
•Good understanding of the cross cutting architectural elements like Security (Authentication, Authorization, Distributed logging, tracing and Audit, Infra as Code, Database Design (SQL Server and MongoDB)
•Deep understanding of architectural concepts, issues and trends
•Expert knowledge in Object Oriented Principles and Design Patterns
•Expertise in n-tiered web architectures, SOA and related technologies (XML, SignalR , WCF, SOAP, REST, JSON, etc.)
•Strong technical expertise in the Relational Databases, No SQL DB (Ex: SQL Server, MongoDB), Web development and object-oriented methodologies.
•Must be a Team player able to work effectively at all levels of an organization with the ability to influence others to move toward consensus.
•Should review design and implementation of junior designers and developers on the quality of technical deliverables and adherence to quality process
•Excellent verbal and written communication skills.
Location : Chennai & WFO
React.js
Redux/FluxJavascriptPosition: React/Redux Frontend Engineer
Location: Pune (Initially Remote)
We are looking for a candidate with experience in building single page applications using React / Redux. You would be working on a product actively used by thousands of customers.
About the Organization:
It is one of the most exciting Bay Area Product Driven Organization in Logistics industry supporting more than 30,0000 customers.
Your responsibility will include, but not limited to:
• Transforming product requirements into clean well-written code
• Optimizing existing code for performance and reusability
Must have:
- 5+ Years of Strong knowledge of Javascript, ES6, JSX
- 2+ Years of Strong knowledge of React and Redux
- Knowledge of promises / Async / Await
- Good understanding of REST API integration and authentication
- Looking for Someone Who can start immediately / Within a month
- Typical Product Background with a Programming Thinking of solving complex problem
Educational Qualification:
Should Be a Computer Science Graduate, preferably from a Tier-1 Engineering college
Good to have:
• Advance GIT
• HTML / CSS knowledge
• Knowledge or experience working with Service Workers
Why join us?
• Very high-growth
• Passionate, collaborative, and awesome co-workers
• Free lunches
• Competitive salaries
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
AngularJS (1.x)
Angular (2+)
jQuery Very good knowledge of material design components
Angular CLI and CDK.
Creating new Components
String Interpolation and property binding.
In depth knowledge on angular Core package
Two way binding concept
Use cases on Angular Life cycle methods
Inbuilt directives and custom directive
Creation of Custom events and Event binding between components.
Communication between two custom components
Local references and View child and Content Child options
Services and Dependency Injection and its implementation in various use cases
Angular Routers and routing
Observables and their use and implementation
Pipes to transform output Creating Http request ( API handling)Dynamic Components
Good Knowledge of HTML5, CSS3, JQuery, Typescript
Proficient understanding of code versioning tools, such as Git, SVN
Adhering to best design practice
Good Written and Verbal communications.
JavascriptJava
HTML/CSS
React NativeReact.js
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon