We are looking for Presentation Specialist (or Presentation Designer) who can work with our business to design a presentation in PowerPoint or another program in order to highlight a particular product or service, work on the project brief from our clients to articulate branding and marketing concepts to the brand’s audience through visual concepts. You’ll be part of a cross-functional team that’s responsible for the entire creative campaign starting from conception to deployment.
Why Will I Apply?
1.I will have Experience to be a part of a brand journey from scratch
2.I will have freedom to fail in pursuit of disruption.
3.I will work and compete with the brightest minds in the category
4.I will enjoy the pressure and perks of higher hierarchy
Roles
1.Campaign ideation and visual presentation on how the branding and messaging for a brand will look like.
2.Creating branding assets still or motion that will be used by the brands to market their products PAN India.
3.Hire and lead an external team in case the work has to be outsourced through excellent contacts in the industry.
Responsibilities
1.Team player with a knack for visual design and utility.
- Deadline driven, organised and understand how people view and understand content.
3.Internet savvy but people friendly, should be as comfortable with a marketing team as they are with any digital device.

About Ebullient Gaming India Pvt Ltd
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Are you a skilled Full Stack Developer with hands-on experience in Golang?
Join our growing team and work on cutting-edge projects in a collaborative environment!
🔹 Role: Full Stack Developer – Golang
🔹 Experience: 5+ Years
🔹 Budget: ₹1,00,000 per month
🔹 Location: Yerwada, Pune (Hybrid – 2 days a week)
Key Responsibilities:
Develop and maintain scalable web applications using Golang for backend and modern frontend frameworks.
Design clean, efficient, and reusable code for both client and server sides.
Collaborate with cross-functional teams to define and deliver new features.
Ensure application performance, security, and scalability.
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Requirements:
Strong proficiency in Golang (backend) and JavaScript/TypeScript (frontend).
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Job Summary:
We are looking for a Hotel Operations Executive to manage post-booking activities, including modifications, cancellations, and customer support. The role requires coordination with hotels, handling escalations, and ensuring a smooth guest experience.
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Job Description - SAP ABAP Developer
Company Description
Masters India IT Solutions is a growing FinTech SaaS firm, serving over 1500+ enterprises.
Masters India is one of the biggest GST Suvidha Provider (GSP) appointed by Goods and Services Tax Network (GSTN) of Government of India since 2017. Our mission is to build intuitive software solutions for complex problems faced by businesses across the industries. We are fulfilling our mission by offering tax and financial automation products to enterprises.
Masters India IT Solutions is a part of 44 year old Masters India group which is into Manufacturing, Healthcare, Hospitality and IT with an aggregate turnover of INR 1000+ Crores.
Job Description
- Develop detailed plans and accurate estimates for completion of build, system testing and implementation phases of the project.
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Qualifications
We are looking for a SAP expert with hands-on coding experience who is looking to create a difference by delivering business transformation solutions (specifically in P2P and O2C) to large enterprises.
· Project Implementation
· Experience in integrating SAP Projects
· SAP OTC
· SAP P2P
· Good Functional knowledge of FI and Material Management (MM)
· Knowledge of GST module
· API Integration and Testing
· SAP ABAP Skills ( Logic Building , Performance Tuning etc)
Candidates MUST HAVE :
● Deep expertise with JavaScript. Extensive hands-on experience building microservices using NodeJs.
● Substantial experience in building complex and scalable solutions.
● Strong computer science fundamentals: data structures, algorithms, design patterns
● Strong experience and understanding of various APIS / Web Services and SQL/NoSQL databases
● Architected non-trivial solutions for a company at a scale
● Proficient in unit testing, writing mocks, automated functional tests, and end-end tests
● Experience with a variety of languages, stacks, and programming paradigms
● Capability to contribute across the web and mobile stacks
● Strong desire to drive change, and ability to adapt to change quickly
● The ability to independently lead problem-solving and build elegant, maintainable solutions to complex problems.
Good to Have
● Experience in building projects with TypeScript, ExpressJs, NextJS, ReactJs, Flutte,r etc.
● Experience with gRPC or GraphQL API implementations.
● Experience in any other programming languages such as Python/Go/Scala
● Experience with Kubernetes, Docker and
● Understanding the nature of asynchronous programming and its quirks and workarounds
● Good hand-on with data streaming technologies like Kafka
● Experience with cloud APIs (e.g., GCP, AWS, Azure)
● Understanding on information security and data privacy
● Experience in open-source development and contribution to open-source technology
Roles and Responsibilities :
● Write clean, reliable, reusable, scalable, testable and maintainable code.
● Produce best in class documentation, testing and monitoring
● Estimate effort, identify risks
● Mentor/coach other engineers in the team to facilitate their development and to provide technical leadership to them.
● Rise above details as and when needed to spot broader issues/trends and implications for the product/team as a whole
● Practice and promote craftsmanship in software engineering (coding, testing, code reviews, documentation, scalability, performance, etc.)
● Break down requirements, estimate tasks, and assist in planning roadmap accurately
● Develop iterative solutions to address expansive product goals
● Platformism components as libraries, utilities and promote reuse
● Be able to conceptualize and develop prototypes quickly
● Own large technical deliverables and execute in a structured manner.
● Take accountability for the overall health of the products you build and ensure predictability of the deliverables of your team 1
● Drive technical roadmap of the team in collaboration with Product and Business Teams.
Requirements:
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Proficiency with React Native.
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Experience and Understanding of ES6 & JavaScript Concepts.
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Experience with React.js and Redux.
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Familiarity with native build tools, like XCode, Gradle Android Studio, IntelliJ
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Hands-on experience on Android, iOS platforms in creating Hybrid / Native applications.
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Has prior experience in creating bridging modules for React Native
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Understanding of the basic concepts of Android and iOS like Services, Background App Refresh, offline compatibility etc
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Hands on experience in Application Design and Development on React Native platform.
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Require knowledge of Version Control GIT.
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Understanding of Unit Testing, Debugging Methodology used in React Native Apps
Will be a Plus:
- Team Members Handling Experience
- Perform checks on correct functionality of the app
- Work on bug fixing and improving application performance.
- Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
- Knowledge of React and the Javascript ecosystem
- Exposure to building ReactNative components in native iOS.
- Knowledge of Beacons and IOT will be value addition.
We Offer:
- 5 Days Working
- Competitive Salary.
- Knowledge-Based Hierarchy
- Trending Technology Development
- Career Development Programs.
- Tremendous Scope of Responsibilities and KPIs Aligned with Individual and Organisational Goals.
- Exposure to working with a team size of 50+.
- Good Project Incentives and Rewards.
- Monthly Rewards and Recognition Program- Star Performer of the Month.
- Work-Life Balance.
- Fantastic Team Spirit with Creative, Fun and Open Office Work Culture.
Responsibility:
- Support the entire application lifecycle (concept, design, test, release and support)
- Produce fully functional mobile applications writing clean code of for React Native Platform.
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- Liaise with the development team to plan new features.
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Backend Development - Intern
Converts into a full time position based on performance
A Backend Developer, for an early-stage Analytics startup who can help us translate Product specs into a high-performing and scalable product across platforms. Also help in improving functionality of product. End goal is to achieve product-market objectives
The candidate will have rich learning into what goes into developing, scaling a product from scratch. A chance to grow into a Backend Development Owner in medium-long term
Responsibilities
-
Own Back End Development closely with Product Owner
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Design, implement and maintain product modules/sub-systems in your scope
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Perform bug verification, release testing and support for assigned products.
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Conduct unit testing and integration testing.
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Make sure the delivered product matches the business requirements.
Expectations from candidate
-
Ability: Good at logical thinking, problem solving
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Inclination: Curious and strong willingness to learn from problems, write good code
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Knowledge: Basics of Back End Development (Some academic degree/certification
or Prior experience/Projects preferred)
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Languages/Tool/Framework: Python, MongoDB, GraphQL, GoLang
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Interest in product focused work in a fast-moving start-up environment
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Attitude: We are looking for a person with an owner mindset who can partner with
us in building our product with a lot of commitment. We like people who are curious problem solvers and are interested in learning with us and working hard.
What we offer
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Great culture focused on outcomes through learning and experimentation
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Mentoring by experienced professionals from pedigreed backgrounds (IIT/IIMs)
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Growth, ownership, and flexibility to achieve your goals.
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.
- Developing a comprehensive and sustainable employee engagement strategy using data by dividing members into different cohorts.
- Defining engagement and growth strategies for every member quarterly.
- Becoming an expert in our Engagement and Recognition tools
- Improving the Employee Engagement Index across teams by conceptualizing and implementing various employee development and engagement initiatives.
- Using tools to keep records of engagements, initiatives, processes, solutions, etc. thus building a playbook of success stories.
- Gathering, analyzing and presenting key employee engagement metrics to help support the delivery of key initiatives and preparing reports for key stakeholders in a timely fashion.
- Developing and delivering the organization's internal communication strategy, planning and making a calendar of activity to continually drive positive employee experiences.
- Initiating and implementing innovative team-building and collaborative initiatives that help improve the Organizational Development Index.
- Building feedback mechanisms into employee engagement activities and internal communications to enable employees to have an opportunity for dialogue.
- Synthesizing engagement data and developing clear stories for stakeholders
What you need to have:
- Engineer plus MBA/PGDM from Tier 1 B - School
- Experience of working in hyper-growth start-up
- 4-7 years of experience in engagement/ talent development role, out of which at least 2 years in leading specific projects.
- Engagement expert with strong domain knowledge.
- Ability to maintain a high level of confidentiality and work with sensitive data and information.
- Prior background in building unique engagement experiences.
- Good command over documentation and process flowcharting using tools.
- Excellent organizational skills and an ability to multi-task across concurrent projects with strong attention to detail.
- Proven ability to drive assignments on metrics using technology.
- Strong analytical skills/ comfort in data analysis, including MS Excel modelling & data manipulation skills and ability to manage reports & dashboards
- Passion for creating seamless and engaging user experiences.
- Curious about metrics, execution processes, people trends.
- Excellent communicator having the ability to influence and persuade others.
- Commitment to demonstrably improving team metrics.
- Positive, flexible, and proactive, hands-on with a can-do approach.
- Good command over documentation and process flowcharting using tools.
Responsibilities:
-Meet prospective clients, execute effective product
demonstrations, emphasizing product features and benefits with
a focus on the value of the solution.
-Visit Schools to understand the scope of
business in the respective location.
-Prospect, educate, qualify, and generate interest for Sales
Opportunities.
-On-boarding new children on the Clevernist platform will be a
major KRA for a Field Sales Manager.
-Researching potential leads from open markets, web searches,
or digital resources.
Requirements:
-Excellent communication and interpersonal skills.
-Should have own vehicle (two vehicles)
-Should be proficient in Hindi and English language, knowing the
regional language will be a plus.
-Should be comfortable to work for 6 days, rotational Week-off
(Saturday & Sunday working).
-Effective presentation and negotiation skills.
-Hands-on MS Excel, Word & PPT, etc.
Industry
- E-learning
Employment Type
Libraries, Interface, Language Fundamentals
Data Structures, Algorithms, Collections
Design Patterns, Singletons
Multithreading
Messaging, CI/CD
Databases
Tooling:
Application Layering, Architectural Design
Unit Testing/ Integration Testing
Any Devops tooling experience (Docker/ Kubernates/ Terraforms)
Tool Configuration and Log Monitoring










