
Job Responsibilities:
Cold calling and ability to convert the leads into admissions
Counseling of Walk-in inquiries
Answering calls and explaining about organization s offerings/courses
Obtaining candidate details and other relevant data & maintaining the data on a regular basis
Suggesting solutions based on candidate s needs and requirements
Resolving queries and issues related to the courses
Coordination with faculties and students, Whatsapp groups monitoring, Hosting zoom meetings/batches
Followup of past participants and report preparation, uploading inquiries on website on daily basis
Telecalling to all outbound & inbound leads
Experience/Requirements:
Proven experience as a Education Counselor, or a similar role in Sales department
Must have pleasing personality, excellent communication and Soft spoken
Location-Janakpuri & Gurugram

About Vidyamandir Classes Pvt. Ltd.
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Mandatory (Skill 2): Must have experience adding subtitles, motion graphics, transitions, music, voiceovers, visual effects, and other enhancements to improve content quality and engagement.
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Job Title: AI Full Stack Developer
Experience: 4–6 Years
Location: Mumbai / Bengaluru
Job Description:
We are hiring an AI-focused Full Stack Developer with strong experience in Python, React/Next.js, and cloud platforms. The role involves working on LLM integrations (OpenAI/Anthropic), prompt engineering, and building AI-driven workflows such as RAG and agent-based systems. Candidates should have hands-on experience with AWS (Lambda, S3, DynamoDB), API integrations, and end-to-end development. Exposure to async processing (Celery/Redis) and modern frontend frameworks is a plus.
Skills Required: Python, React/Next.js, AWS, APIs, LLMs
Apply: Share your resume or connect with us.
Job Opportunity: iOS Developer at FrontM
Location: Bangalore
Experience: 3–6 years
Education: B.E/B.Tech in Computer Science or related field
Salary: Above market standards
Career growth: Long-term opportunity with potential to evolve into lead mobile architect roles
About FrontM
FrontM builds software solutions for frontline workforces, with a strong focus on the maritime industry. Our platform supports mobile, web and specialised onboard use cases, including communication, collaboration, welfare, learning, healthcare and operational tools.
The platform is used in remote and bandwidth-constrained environments, so our mobile applications must be reliable, lightweight and carefully optimised.
Role Summary
As an iOS Developer, you will build and maintain core features of the onship iOS application.
You will work on scalable iOS architecture, real-time communication features, messaging, notifications, media experiences and performance optimisation for environments with limited connectivity.
This role requires strong iOS fundamentals, hands-on experience with Swift and Objective-C and the ability to build reliable applications for iPhone and iPad users.
Key Responsibilities
Application Development — 60%
- Develop and maintain iOS applications using Swift and Objective-C
- Build responsive, clean and reliable iOS user interfaces
- Implement messaging, notifications, calling, video calling and media-related features
- Integrate REST APIs, WebSockets and real-time communication services
- Optimise app behaviour for low bandwidth and intermittent connectivity
- Maintain compatibility across supported iOS and iPadOS versions
- Work with product, design and backend teams to deliver stable features
Platform & Architecture Development — 25%
- Design and maintain reusable iOS components
- Implement modular architecture for scalable feature development
- Work with iOS frameworks such as UIKit, SwiftUI, Foundation, AVFoundation and Core Data
- Integrate third-party SDKs where required
- Improve application performance, memory usage and startup time
- Support secure authentication, token handling and local storage
- Contribute to build, release and deployment processes
Reliability, Performance & Quality — 15%
- Write unit tests and UI tests
- Perform code reviews and maintain code quality standards
- Diagnose crashes, memory leaks and performance bottlenecks
- Use profiling and debugging tools such as Instruments, Xcode Debugger and Console
- Support App Store and enterprise distribution releases
- Maintain clear technical documentation where required
Required Technical Skills
iOS Development
- Strong experience with Swift
- Working knowledge of Objective-C
- Strong understanding of iOS SDK and Apple development ecosystem
- Experience with UIKit and/or SwiftUI
- Good knowledge of iOS app lifecycle, background modes and permissions
- Experience with push notifications and deep linking
Networking & APIs
- REST API integration
- WebSocket-based communication
- JSON parsing and API error handling
- Offline handling, retry logic and network state management
- Secure handling of authentication tokens and local data
Communication & Media Features
- Experience with audio/video calling features
- Familiarity with VoIP push notifications
- Experience with CallKit is a plus
- Experience with AVFoundation or WebRTC is a plus
- Experience with messaging, chat or real-time communication apps is preferred
Performance & Platform Knowledge
- iOS lifecycle and memory management
- App performance profiling using Instruments
- Debugging crashes and production issues
- App optimisation for low bandwidth environments
- Experience deploying apps through App Store Connect and enterprise distribution
Tools & Development Practices
- Xcode
- Git
- CocoaPods and/or Swift Package Manager
- CI/CD pipelines for iOS builds
- Firebase, Crashlytics or similar crash reporting tools
- Agile development practices
Personal Attributes
- Strong problem-solving skills
- Attention to detail in UI behaviour and performance
- Ability to work independently and ship reliable code
- Clear communication and collaborative mindset
- Comfortable working in fast-moving engineering teams
- Willingness to work on real-world operational use cases
Why join FrontM?
Long-Term Career Growth
Opportunity to work on complex mobile platforms used across global operations, with scope to grow into senior engineering or mobile architecture roles.
Engineering Challenges That Matter
Build mobile applications that need to work reliably in remote environments, limited connectivity and demanding operational conditions.
Meaningful Impact
Your work will directly support frontline professionals by improving access to communication, information and operational tools.
Apply Now
Join a team focused on building reliable software for real-world use cases and contribute to technology used across the global maritime workforce.
We are looking for an experienced Program Manager to lead end-to-end delivery of complex technical programs. The TPM will collaborate with engineering, product, QA, DevOps, and business teams to plan, execute, and deliver high-impact initiatives on time and within scope.
Responsibilities
- Own program planning, execution, tracking, and delivery
- Translate business requirements into technical scope and milestones
- Work closely with engineering teams (Backend, Frontend, Mobile, QA, Cloud, Security)
- Manage project schedules, risks, dependencies, and budgets
- Drive scrum/Agile ceremonies and ensure delivery excellence
- Coordinate across multiple teams and stakeholders
- Track KPIs and publish weekly status and dashboards
- Identify blockers and drive problem resolution
- Ensure quality, security, and performance standards are met
- Manage vendor/third-party collaboration when required
Job Description
Build and maintain bots on Azure platform. Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments
Qualifications
- a) 5 years of experience in software development with clear understanding of the project life cycle
b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework, LUIS and other Cognitive services offered by Azure
c) Hands on experience with Machine Learning based chat bots
d) Experience with Azure bot services like Text Analytics etc.
e)Strong database skills and hands-on experience on databases like SQL Server/Oracle - f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
- g) Strong experience designing and working with
with service-oriented architectures (SOA) and WebAPIs.
- h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C#/VBNET
- i) Knowledge of Python and NodeJS is a plus
- j) Ability to design and optimize SQL Server 2008 stored procedures.
- k) Experience with JQuery, CSS3, HTML5 or similar technologies.
Role: Copy & Content Writer
Experience: 2-4 years
Location: Chandivali, Mumbai (Onsite)
Requirements:
● 2 years of copywriting experience.
● Excellent writing, editing, and proofreading abilities with impeccable grammar
● A good understanding of marketing concepts and being able to modify your copy to achieve set campaign goals.
● Aware of the most recent trends
● A quirky and creative mind that can turn the mundane into the extraordinary.
● A strong portfolio that demonstrates your proficiency in creating social media content and internal branding materials.
● A team player who is eager to collaborate closely with designers and marketing specialists to develop a smooth brand experience.
● Attention to detail and a keen eye for visual aesthetics.
Responsibilities:
● Develop and curate engaging, brand-centric content for social media platforms, ensuring a consistent and compelling brand voice.
● Craft internal communications that reinforce our brand's identity, mission, and values, fostering a strong and united company culture.
● Offer creative input for marketing campaigns, helping to differentiate our brand and achieve campaign objectives.
● Stay up-to-date with market trends, competitor analysis, and industry developments
● Craft compelling ad copy that captivates readers and turns them into our brand advocates.
● Create savvy, relatable memes that will make people click the "Share"
button.
● Editing, proof-reading and summarizing copy to present and promote messages to various audiences
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.
● Be able to work in a product-based and fast-paced environment
● Have prior experience working on at least 3 mobile applications
● Android Development : Minimum 3 years of experience
● Flutter Development : Minimum 1 year of experience
Roles and Responsibility :
● Should be a pro at UI, UX concepts and be aware of all latest trending UI and Interactive
● Understand and have experience in Android Material and Flutter
● Experience in object-oriented analysis and Designed and implemented User Interface
using Storyboard and Manual
● Translate designs and wireframes into high quality
● Design, build and maintain high performance, reusable, and reliable Java
● Strong knowledge of Android UI design principles, patterns, and best
● Ensure the best possible performance, quality, and responsiveness of the
● Identify and correct bottlenecks and fix
● Help maintain code quality, organization, and
● Experience working with software developers or digital design
● Work alongside QA to provide fixes for Android device-specific
● Experience on working with different multi-screen resolution
● Be able to create world-class apps with trending UI, UX and Interactive methods
About Mobiquity
Founded in 2011, Mobiquity provides end-to-end omnichannel digital consulting services to trusted B2B and B2C brands (HealthCare, Banking, IoT, Big Data, and cutting edge Web & Mobile Applications). With over 750 employees spread across the USA, Europe, and India, 40 different nationalities combined; we create compelling digital experiences to help our clients create the best human-centric products. Our expertise includes Strategy, Design, Product Engineering, Analytics, and Cloud Services. Each day, 50 million users interact with our solutions.
Our teams are inspired by technology but it doesn’t rule them. We love to learn, we are curious by nature and committed to making a mark. Working at Mobiquity means that sometimes you’ll be working outside your comfort zone, and you’ll work with smart people, possibly some that are even smarter than you. We value people that judge their success by the success of the team and the happiness of customers.
We’re also proud to be an Amazon Web Services (AWS) Premier Consulting Partner.
Your responsibilities:
- You will be working together with fellow junior and senior Frontend developers, helping to improve the group's skill level and exchanging new ideas.
- On a daily basis, you write JavaScript/Typescript/ES6/Angular/React and HTML5, CSS3 (SASS/LESS/Stylus)
- Closely collaborate with designers and the rest of the technical team (Backend, DevOps, QA) to make sure we’re all aligned.
- You will manage projects with open-source JavaScript and TypeScript libraries and frameworks (we're big on React and Angular), and explore new technologies (GraphQL, AppSync, Apollo).
- Code reviews are, of course, a part of your responsibilities as well as providing high-quality work.
What it takes to excel in this role
- Strong core JavaScript and TypeScript
- 5+ years of JavaScript development experience
- Minimum of 2 years of experience with either, Angular 5+ or React
- Experience with Webpack/Grunt/Gulp or other automated build tools
- Experience with Jasmine/Jest or other JavaScript testing frameworks and tools• Strong Experience with HTML, CSS, SASS/LESS/Stylus
- Experience with JSON, REST, Web Services
- Experience with working in an Agile environment
- Good communication(in English) and consultancy skills
- Affinity for working in a flexible, diverse and fast growing environment
- Proactive mindset focused on teamwork and continuous improvement - we want to grow together with you
Bonus
- Experience with AWS
- Experience with React Native
- Experience with GraphQL, PWA, NodeJS
- Experience in a Fullstack position or in a lead position• Experience working in a consultancy company










