Presentation Specialist

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.

• Proficiency with React Native.
• Experience and Understanding of ES6 & JavaScript Concepts.
• Experience with React.js and Redux.
• Familiarity with native build tools, like XCode, Gradle Android Studio, IntelliJ
• Hands-on experience on Android, iOS platforms in creating Hybrid / Native applications.
• Has prior experience in creating bridging modules for React Native
• Understanding of the basic concepts of Android and iOS like Services, Background App Refresh, offline compatibility etc
• Hands on experience in Application Design and Development on React Native platform.
• Require knowledge of Version Control GIT.
• Understanding of Unit Testing, Debugging Methodology used in React Native Apps

• 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.

• 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.

• Support the entire application lifecycle (concept, design, test, release and support)
• Produce fully functional mobile applications writing clean code of for React Native Platform.
• Gather specific requirements and suggest solutions.
• Troubleshoot and debug to optimize performance.
• Design interfaces to improve user experience.
• Liaise with the development team to plan new features.
• Ensure new and legacy applications meet quality standards.
• Research and suggest new mobile products, applications and protocols.
• Stay up-to-date with mobile new technology trends.

Company Profile
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.

 

What you need to have:

 

 

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

Java 8
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