Sales Manager

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.

Job Description: 

• Creating detailed inorganic and organic 3D models i.e. characters, props, layouts, machines, natural features and environments. 
• Creating highly detailed textures. 
• Doing rigging, organic and inorganic animations. 
• Ensuring that artwork is optimised for Web browsers. 
• Managing and working in coordination with other team members.
• Working on multiple projects at given time.
• Managing entire game projects from creative and graphic perspective.

Requirements: 

• Proven experience in designing high as well as low poly models.
• Must have an expert knowledge of Maya, Zbrush, Substance Painter, Photoshop, After effects. 
• Knowledge of 2D and 3D animations is a huge advantage. 
• Good knowledge of lighting and technical details in Unity is a plus. 
• Must be very creative and should have a keen eye for detail.
• Should be able to work well under pressure and adhere to deadlines without compromising on the quality. 

What you will do:

• Deciding accessories for models in photo shoots
• Product styling
• Campaign styling
• Catalogue Styling
• Arranging props for shoots
• Developing mood boards

 

What you need to have:

• Minimum experience of 2 years in catalogue and campaign shoots
• Ability to imbibe good time management and multi-tasking skills    

Are you looking for a promising career with a well known ed-tech brand, which is looking to make life easier for kids and parents to understand basic concepts of learning? Then read on.

Our client aspires for equity in education along with profound, measurable societal impact. The company provides learning solutions such as digitalized educational contents, English speaking, school infrastructure, improvement and management solutions etc. for a spectrum of audiences ranging from children in schools and informal setting, to teachers, adults, and corporate. They've created significant reach and impact at scale; through their presence across 32 States and Union Territories and 478 districts of India, in 36,000 schools and with a network of around 300 Institutes of Skills, and 100 industrial clusters, they directly impact 15 million people on a daily basis.

 

Globally, they deliver programmes in 17 countries of Africa, Middle East and South East Asia. As catalysts, they facilitate education to transform and create a sustainable impact. They improve the quality, reach and delivery of education to the masses using pedagogy and technology. Their partnerships with the government, educational institutions, and international agencies ensure maximum reach and hence, impact.

 

As a Project Manager, you will be responsible for entirely managing and delivering the project.

What you will do:

• Managing the process of ensuring the timely completion of project deliverables
• Understanding stakeholder needs of the project and business
• Coordinating between different teams for program management within the company and customer
• Meetings and presentation with the customer on continuous project review
• Supporting and managing the existing Ed-Tech portfolio to grow and be more impactful through continuous strategic support

 

Desired Candidate Profile

What you need to have:

• Strong experience and expertise with modern, cloud-based project-management software or platform or LMS based software
• Excellent communication, interpersonal, organizational and team-building skills
• Strong presentation and written/ oral communication skills
• Startup mentality
• Knowledge of business functions and understanding of business operations, strategies and objectives
• Experience in an Ed-Tech company or Education industry
• Certification in project management would be an added advantage
• Experience in driving/ supporting sales and marketing for products with revenue goals    

Roles/Responsibilities
● Working alongside other developers, product managers and designers
● Own a feature and bring it to the production application.
● Build pixel-perfect, buttery smooth UIs across both mobile platforms.
● Leverage native APIs for deep integrations with both platforms.
● Diagnose and fix bugs and performance bottlenecks.
● Maintain code and write automated tests to ensure the product is of the highest quality.
● Writing clean, readable, and testable code
● Hiring and leading team (Senior Web Developers)
Skills Required
● Must have hands-on working exp on React-Native and different packages.
● Strong working knowledge on React Native and Redux
● Experience on REST with JSON.
● Proficient understanding of code versioning tools, such as Git
● Experience in building and supporting high-performance applications
● Java/Swift Knowledge to create a native bridge is a plus.
● Prior experience with Firebase is a plus.
● Javascript, React Native, Software Architecture, Mobile Development, Unit Testing, Swift, Java

This is for windows software developers who are good in creating .NET based application for windows supported environments. Opportunity to grow with Microsoft App Store and Cloud based application.

Role And Responsibilities: Designing and building solutions for GogoAir - Inflight internet/telecommunication domain Develop modern(progressive/responsive) web applications(progressive and responsive), working with the UI Team Translates business requirements into technical details relevant to the web application. Required Skills And Capabilities : 8- 13 years of experience in frontend development MUST have Hands-on experience in ReactJS and delivered project on ReactJS and played key role Great understanding of Web technologies like XML, XHTML, Client Server side scripting languages such as JavaScript, Typescript and web services development using RESTful implementations. Hands on with React Native (for mobile) Familiarity with the Flux Design Pattern or one of the libraries it inspired Hands on with in Redux Hands on with Core web fundamentals: HTML, JavaScript, and CSS Hands on with CSS pre-processors like Sass or LESS Hands on with JS-based build tools like Grunt, Gulp, Npm, Bower and Webpack Unit Testing with Mocha, Karma or Jest JavaScript Libraries like jQuery or Backbone.js Front-end (CSS) frameworks like Foundation or Bootstrap AJAX (Asynchronous JavaScript and XML) Good Written and Oral Communication Skills

We are hiring for Back Office Executive. The candidate should have fundamental learning of computer and help the other employees on their necessary job roles and responsibilities.

Job Description :

Only Female candidates are eligible
Qualification: Graduation
Age: Around 30 years.
Minimum 6 months to 1 year of experience in the related field is essential.
Having good exposure over Ms-Office.
Need administrative and organizational abilities.
Need to have excellent written and oral communication in English.
Intercultural sensitivity and multitasking capacity.
Readiness to take initiative and to solve problems.
Sociable, self-motivated and initiative taker.