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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.

• Create an inspiring team environment with an open communication culture
• Set clear team goals
• Delegate tasks and set deadlines
• Oversee day-to-day operation
• Monitor team performance and report on metrics
• Motivate team members
• Discover training needs and provide coaching
• Listen to team members’ feedback and resolve any issues or conflicts
• Recognize high performance and reward accomplishments
• Encourage creativity and risk-taking
• Suggest and organize team building activities
• Responsible for distributing information to team members and stakeholders
  
• Coordinates operation strategies and activities to ensure the provision of outstanding customer service while adhering to regulatory and company guidelines
  
• Address customer concerns in reference to products, services rendered or employee interactions
  
• Train new employees on company standards and procedures, from how to handle a negative customer experience to how to properly interact with clients

We are looking for an experienced Kotlin/Flutter Developer who will join our talented software team that works on mission-critical applications. Your duties will include managing Flutter (Android, iOS) application development while providing expertise in the full software development lifecycle, from concept and design to testing.

You should have good experience in building high-performing, scalable, enterprise-grade applications and be able to write clean code and ensure your programs run properly. We also expect you to be passionate about building software and perform well working in a team, along with developers, engineers, and web designers.

 

Developer Responsibilities Are

• Design and develop high-volume, low-latency applications for mission-critical systems and delivering high-availability and performance
• Create well designed, testable, efficient code
• Participate in all phases of the development life-cycle
• Assist in the preparation and production of releases of software components
• Ensure designs are in compliance with specifications
• Investigate alternatives and technologies and present them for architectural review, in order to support continuous improvement

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100ms is building a Platform-as-a-Service for developers integrating video-conferencing experiences into their apps. Our SDKs enable developers to add gold standard audio-video quality conferencing with much faster shipping times.

We are a team uniquely placed to work on this problem. We have built world-record scale live video infrastructure powering billions of live video minutes in a day. We are a remote-first global team with engineers who've built video teams at Facebook and Hotstar.

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100ms Platform-as-a-Service will reduce shipping live conferencing application time to days instead of months, allowing companies to focus on their core business.

We are designing our client SDKs to bring the ease-of-use of Stripe and the quality-and-scale of zoom to video conferencing. As part of the client SDK team, your job will involve creating these SDKs.

• Drive design and implementation of 100ms's JavaScript SDKs
• Articulate complex architecture problems, drive engineering excellence and collaborate with a cross-functional team
• Speak with fellow developers - our customers - to identify and prioritize features that will help achieve our goals of gold-standard audio-video conferencing in a few lines of code
• Help scale our platform to support billions of minutes a day across thousands devices around the world
• Help maintain a first-class developer onboarding experience - including writing documentation and sample apps
• Share technical practices, build development teams, and improve workflows
• Contribute to open source as we set the standards for video conferencing

• Bachelor's degree or equivalent practical experience.
• 1-3 years of professional software development experience.
• Experience with JavaScript framework development. 
• Experience in API design, performance optimization, client architecture or tools in the JavaScript space
• Knowledge of JavaScript SDK performance tools and optimization techniques

• Experience with video conferencing, Sockets, WebRTC, WebAssembly, Webpack, Canvas
• Experience with React
• Ability to take on complex and ambiguous problems
• Ability to ship consumer facing, high quality, mobile products
• Ability to speak and write in English fluently and idiomatically
• Strong inclination to keep up-to-date with latest trends, learn new concepts, or contribute to open-source projects and would be eager to talk about ideas in internal or external forums

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• You'll be part of a small team at a fast-growing engineering-first startup
• You'll work with engineers across the globe with experience in video at places like Facebook and Hotstar
• You can grow as an individual contributor or as a team leader - freedom to set your own goals
• You'll work on problems at the cutting-edge of real-time video communication technology at massive scale

We are hiring Front End Developers 2+ years Experience- Mid to Senior Level at Displaysweet (www.Displaysweet.com)

 

Technical Qualities Required:

Experience working on web applications based on Vue.js or Angular or React 

Solid knowledge of fundamental web technologies such as REST, HTML, CSS and JavaScript (ES2015+)

Interest in using Vue.js and its associated concepts to build a scalable web application

Great working knowledge of Git

 

A team-player, willing to help others through code review and pair programming

Open minded and always willing to further your own learnings

Quality oriented, a solid eye for detail, and good knowledge of data structures & algorithms

 

Bonus skills :

Experience with Hybrid/Native App development, NativeScript/React Native, Cloud Services (Firestore, AWS)

Excellent communicator

 

About the Company

 

DisplaySweet (www.displaysweet.com) is an innovative PropTech company creating world-class interactive experiences and sales software for the off the plan property industry.

 

Our core software is a content-rich sales presentation system designed specifically for property developers, agents and buyers.

 

Over the past 7 years, we have led the industry, transforming it to a digital platform, recently winning an industry award for the best property technology company in Australia. Our portfolio of clients includes some of the largest developers across Australia. 

Responsibilities:

• Drive innovation and manage product development teams within a fast paced, agile environment
• Cultivate an environment of continuous engineering improvement through mentoring, feedback, and metrics
• Recruit IT professionals with business and industry experience, and develop, reward and energize a competent, effective team within the technology organization.
• Lead software development teams, obtaining necessary resources, acting as an escalation point and removing impediments to achieve goals and objectives
• Engage in hands-on design and ensure alignment of strategy, architecture, tools/methods with software engineers and architects to execute product road-maps
• Collaborate with a wide variety to stakeholders within business and technology teams to drive change required to execute product road-maps
• Enable integrated teams to deliver technology solutions in support of key product initiatives by working closely with product managers, technical project managers, architects, engineers, and quality assurance

IT Experience in Front end and backend application development • Good experience in developing using various JS frameworks (Nodejs, Angularjs, Reactjs, with HTML5, CSS3, Bootstrap). • Strong analytical and problem-solving skills with good interpersonal and communication skills. • Strong proficiency with JavaScript. • Good working knowledge with database MongoDB. • Angualr JS, Node JS, React JS, Mongo DB • Database Design and query optimization • Third party API integration (payment gateway, SMS API, Id verification service), Laravel, Code igniter and web service • Agile Scrum Development • Knowledge of various AWS Cloud Services etc. • Experience in Window Azure development which include developing backend for IOT application using Azure IOT Hub, Azure Event Hubs. • Knowledge on IoT application / Projects. • Excellent hands-on experience dealing with the onsite – offshore model and client interaction. • Client engagement to get more business for the organization. • Well versed with Quality Processes & Procedures. Experience in Planning, Estimation and Project management. Led and managed teams towards successful releases in the past. • Understanding and implementation of security and data protection. • Strong understanding of JavaScript, its quirks, and workarounds. • Web fundamentals like HTML, JavaScript, and CSS. Competencies  Requirement Analysis.  Task Break Down and Delegation to Team Members.  Coding.  Estimation  Code Review and Technical suggestions.  Client Communication.  Functional Test Case Preparation.  Testing and Debugging old code  Code reuse & Performance Improvement.  Professional documentation skills.  Ability to adapt to any environment and gain the required knowledge in short time.  Optimize and improve code structure

ABOUT MOOSHAK We're at a point where the urban English-speaking Indian population is almost all online.The next billion Indians online all communicate via Indian languages. Mooshak was created with the singular aim of making the Internet fun and relevant for this large, untapped segment. At Mooshak, we want to connect and engage Indians in their own language. And that presents problems in various domains, from creativity in content creation, to creating a highly scalable platform, to applying techniques in AI and NLP in Indian languages to understand what people are saying and react to what they want. Mooshak is architected to scale. Irrespective of the number of followers, the read time for a feed remains constant. We achieve this by using distributed message queues and a distributed computing engine and some nifty caching! On the client side, where we have an Android and web app. TECHNICAL RESPONSIBILITIES Android Developer Roles and Responsibilities Play a leading role in all stages of Android development from architecture to coding to final testing. Work as part of an Agile team to deliver a high quality product. Write clean and elegant code. Be a part of the product team to plan, design and execute new features. Android Developer Qualifications: Expert at Java and Android development Independent, energetic, and capable. Great communication and collaboration skills, and a strong teamwork ethic. Knowledge of client/server architectures, syncing and caching approaches. Experience writing and debugging multi‐threaded code. Experience with continuous delivery (automation of all processes throughout the software development lifecycle); e.g. automated builds, automated tests, and automated deployments Bonus Items: Demonstrated experience with open source technology: Node.js, MongoDB and Git. Experience with cloud services. Full stack‐developer that can work on both the front‐end and back‐end of an application. NON TECHNICAL RESPONSIBILITIES We are a startup. This means that: You will be expected to be someone who comes up with solutions instead of problems. You will be expected to work non stop including weekends if the servers crash. But otherwise we are quite chill! You will be expected to talk to multiple stakeholders customers, designer, client side developer to achieve user and business needs. A high aptitude and a positive attitude are a must You should be comfortable working independently as well as in a team. We are a lean team right now, with you as the only server developer (assisted by the folks who built the platform) JOB LOCATION You would be working out of our office in Pune. You may be required to travel occasionally to Bangalore where some of the team members sit.