Job Description: Customer Service Executive (Hindi Voice Process)
Company: Hippdocloud Technologies
Location: Visakhapatnam
Experience: 0-1 year
Qualification: Any Graduate
Job Overview:
As a Customer Service Executive, you will be responsible for providing excellent customer service to clients in the Hindi language.
You will handle customer inquiries, resolve complaints, and provide information about company products and services.
The role involves communicating with customers primarily through voice calls.
Responsibilities:
Handle incoming customer calls and provide assistance in a professional and courteous manner.
Address customer inquiries, complaints, and provide appropriate solutions.
Maintain accurate and detailed records of customer interactions and transactions.
Collaborate with team members and other departments to ensure customer satisfaction.
Stay updated on company products, services, and policies to provide accurate information to customers.
Follow communication scripts and guidelines to ensure consistent and effective customer interactions.
Identify and escalate priority issues to the appropriate department or supervisor.
Provide feedback and suggestions for process improvements to enhance customer experience.
Requirements:
Fluency in Hindi and Telugu languages is essential.
Excellent verbal and written communication skills in Hindi.
Strong customer service orientation and problem-solving skills.
Ability to handle customer inquiries and complaints with empathy and professionalism.
Basic computer skills and familiarity with CRM systems.
Ability to work in a fast-paced environment and handle multiple tasks simultaneously.
Prior experience in customer service or call center roles is preferred but not mandatory.
About HIPPO CLOUD TECHNOLOGIES
About
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Experience : 6yrs
Must have skills
6 to 8 years
Java, JEE, Spring Boot, Microservices, REST
Good knowledge of data structures and algorithm concepts
Key Responsibilities
Content Creation: Develop engaging, brand-aligned copy for video scripts, social media posts, images, and advertising campaigns.
Collaborative Workflow: Act as a pivotal liaison between the account management and graphic design teams, ensuring messaging and visual content are harmoniously integrated.
Quality Assurance: Review and refine content to ensure it meets our high standards for clarity, grammar, and brand consistency.
Creative Input: Provide insightful creative direction and references to guide the visual and textual aspects of our content, keeping abreast of the latest social media trends.
Essential Skills
Exceptional English Proficiency: Outstanding writing, editing, and proofreading skills, adaptable to various tones and styles for different audiences and platforms.
Social Media Expertise: In-depth knowledge of major social media platforms, with a talent for leveraging trends and engaging diverse audiences.
Efficient Multitasking: Proven ability to manage multiple projects simultaneously, prioritizing tasks to meet deadlines without compromising quality.
Strong Collaboration: Excellent coordination and communication abilities, essential for working closely with account managers and graphic designers to ensure a unified approach to content creation.
Innovative Thinking: A knack for creative problem-solving, generating fresh ideas, and overcoming challenges in content creation.
Technical Requirement :
- Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
- Familiarity with RESTful APIs to connect Android applications to back-end services
- Strong knowledge of Android UI design principles, patterns, and best practices
- Experience with offline storage, threading, and performance tuning
- Strong knowledge in SQLite Database
- Experience in designing and developing custom controls for Android.
- Solid foundation in data structures, algorithms, and object orientation design.
- Capabilities to write and execute unit test cases.
- Independent researching, solution finding, analysis and problem solving skills and capabilities.
- Should have a strong knowledge of OOPS and intermediate knowledge of front-end GUI design and development.
- Should have knowledge of Kotlin
- Should have experience in MVC / MVVM Architecture.
- Good in Analytics and Communication
Job description – Backend Developer
About Wekan Enterprise Solutions
Wekan Enterprise Solutions helps companies grow by modernizing their most critical legacy and on-premise applications, migrating them to the cloud and leveraging the most cutting-edge technologies. With a strong focus on Cloud, Mobile and IoT environments, our solutions help companies reduce TCO and improve their ROI on their technology investments. We are also the #1 MongoDB Global Strategic SI partner for mobile modernization.
Location - Chennai or Bangalore
Who are you ? An individual with...
- Good problem solving skills
- Good understanding of software design patterns.
- Believes in software as an enabler and is not constrained by one language or technology and is willing to scale with the product needs.
- Passion for Quality in the work being done.
- Excellent verbal and written communication skills.
Roles & Responsibilities
- Building and developing products and platforms for both client side as well as server-side scalable applications. These include designing Omni-channel (mobile, tablet & web) applications.
- Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant, and efficient systems.
- Suggest & implement best practices for performance tuning while working on the larger datasets.
- Maintain quality and ensure responsiveness of applications.
- Perform design reviews and code Reviews with the Team
- Provide real time knowledge transfer to the team on the Requirements I UI Design & Development.
- Manage the infrastructure & deployment of the release artefacts by coordinating with respective peoples.
- Work in an agile environment with the defined sprints to deliver the assigned work in the stipulated timelines.
- Adhere to software development best practices and coding standards in all work products and participate in the refinement of those practices and standards to improve quality and productivity.
Skills
- Must have strong 4 to 5 years of hands on experience Web Applications Development with good expertise in Node JS Stack using ORM like mongoose/Typeorm.
- Proven experience building application using micro service environment using Docker/Kubernetes platform.
- Experience in creating node modules and packaging through package manager’s.
- Strong development and coding skills, good analytical and problem-solving skills.
- Experience in writing JUnitest cases & performing code coverage using tools like mocha/sonarcube/hudson.
- Rest API implementation using GraphQL.
- Experience is building Dashboards with any chart library in Angular is a must 5. Experience in writing Restful API’s using Node/Python/Scala/Java, etc.
- Knowledge of modern authorization mechanisms such as JSON Web Token, OAuth2.
- Familiarity with code versioning tools such as Git, Bit bucket
- Experience in working on Build Tools like NPM, Gulp, Bower, and Web pack.
- Understanding of Agile & Scrum development methodology.
- Knowledge of AWS, Azure will be an added advantage.
Tools & Technologies
Web Technologies: 1 NodeJS, HTML5, CSS3, jQuery, Bootstrap, JavaScript, AJAX, Postman, REST API, Express 2. Testing:Jest, Karma 3. Databases: Mongodb, NoSQL, Redis 4. Code Management: Git, Bit bucket 5. Operating System: Mac, Linux, Windows 5. Cloud Technologies: AWS, Azure.
- frames and using Agile methodology.
- Basic Azure server administration - Provide technical help during testing, development, and production.
- Discover, evaluate, and implement new technologies to maximize development efficiency - Design and implement complex, optimized algorithms with minimum time and space complexities
Requirements.
- Experience in .Net web development - Experience with C#, Angular Js, Angular2, SQL.
- Sound understanding of MVC design Pattern
- Strong knowledge/understanding of OOPS concepts
- Experience with tools like Visual Studio, SQL Server, Git
- Good analytical and logical skills.
- Good written and verbal communication skills
- Passion for new technologies and innovations.
- Ability to grasp new concepts quickly.
- Takes initiative to uncover/develop solutions to potential problems
- Ability to take on new projects and easily transition between tasks
- Team player who is receptive to coaching and adaptive to change
- Desire to excel and grow each day
- Strong knowledge of Web APIs, Typescript, ES6, ngrx
Nice to Have
- Experience with of LESS, SASS, GULP and GRUNT.
- Knowledge of VueJS
- .Net Framework and/or .Net Core
- Angular 2+, preferable Angular 10
- Experience with tools like Visual Studio, SQL Server, Git
- Material framework
- SASS
- Good technical aptitude
- Restful APIs
- Data structures and Algorithms
- Azure experience including Azure functions etc.
- Azure Devops
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.
1. Strong knowledge in Front end scripting like EJS, JavaScript, Jquery
2. Proficiency with fundamental front-end languages such as HTML, CSS.
3. Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.
4. Proficiency with server-side languages such as Python / Ruby / Java / PHP/ .Net
5. Good Understand with database technology such as MySQL, Oracle, and MongoDB.
- Back-end development using Python/Django
- Front-end development using CSS, HTML and JS
- Write reusable, testable, and efficient code
- Implement security and data protection
- Use Amazon Relational Database Service
- Commit, push, pull and sync to Bitbucket, GitLab
- Deployment of code on MS Azure and AWS
- Build efficient scripts and cron jobs in GCP
- Connect apps and automate workflows using Integromat
- 3+ years of Professional Full time experience building and maintaining complex software on a cross-functional team. You'll join us in writing clean, maintainable software that solves hard problems. You'll write testable, quality code. You'll push the team and the mission forward with your contributions.
- Python and Django
- Strong database skills
- Basic systems administration
- Bachelors or Masters in Computer Science Engineering (or equivalent)
- Minimum product dev experience of 3+ years in web/mobile startups with expertise in designing and implementing high performance web applications.
- You're an incessant problem solver and tougher the problem gets, more fun you have.
- You love to own end to end responsibility, starting from defining the problem statement (either yourself or alongside your peers), development (PoC if needed), testing, releasing in staging & then production env and finally monitoring.
- Sound working knowledge of HTML, CSS and JS is an add-on
- Technical know-how of MS Azure, AWS and GCP are desirable
- Understand and keep the technical documentation up-to-date on Confluence
- Collaborate work using bug tracking and project management tools like Jira, Redmine