AWS Cloud Engineer

Requirement -Experience in optimised and campaigns across Facebook, Instagram and Twitter - Re engagement experience -creative machine -Bonus: Sports experience SQL and design skills

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

Roles and Responsibilities

• Design and build advanced applications for the IOS platform
• Maintain quality and ensure responsiveness of applications.
• Collaborate with the rest of the engineering team to design and launch new features.
• Collaborate with cross-functional teams to define, design & deploy.
• Work with outside data sources and APIs
• Unit-test code for robustness.
• Work on bug fixing and improving application performance
• Maintain code integrity and organization.

 

Desired Candidate Profile

• 2+ Years should be required in iOS development.
• Should be well aware about iPhone/iPad application development
• Should be well versed with Core data concepts
• Should be well versed with Swift-UI
• Should be well versed with Network load optimisations & other core networking concepts
• Must be very good with designing pixel perfect UI
• Good to have Core Audio, Graphics & video frameworks.
• Good knowledge of app deployment process & good to have knowledge on build automation.
• Should have decent communication skills to be able to interact with Clients.

We are looking for a lean MERN Stack developer who is specialized in developing JavaScript-based technologies i.e. MongoDB, ExpressJS, ReactJS, NodeJS. If you have that energy and passion to create impacts, we have the perfect job for you!  Job has flexible or temporary work from home options.

 

Job Responsibilities-

 

• Requirement gathering, UML & Database modelling and documentation
• Building interactive consumer data from multiple systems and RESTfully abstract to the UI through a Node.js backend
• Defining code architecture decisions to support a high-performance and scalable product with a minimal footprint
• Address and improve any technical issues
• Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant and efficient systems.
  
  

Requirements-

 

• BSc degree in Computer Science or similar relevant field
• Previous working experience as a MERN Stack Developer for 3+ years
• Experience with modern frameworks and design patterns
• In depth knowledge of NodeJS, ExpressJS or Restify
• Experience of implementing applications using Angular or React
• Experience for creating front end applications using HTML5, CSS3 Angular, LESS/SASS
• Hands on experience with JavaScript Development on both client and server-side
• Knowledge of Functional Testing regarding Unit Testing, Integration Testing & End-to-End Testing is required
• Strong knowledge of Testing tools is required with subject to Jest and Enzyme, React Testing Library, Puppeteer (or PhantomJS, Nightmare or Headless Chrome) and Selenium WebDriver
• Rest API development, documentation and testing using tools like Postman
  
  

Knowledge of the following will be considered as an advantage-

 

• Requirements gathering, modeling, documentation and project management using Visual-paradigm.com
• Javascript based workflow engines and Flow-Based Programming
• Consumer Web Development Experience for High-Traffic, Public Facing web applications,
• Experience with cloud technologies
• Creating secure RESTful-based web services in XML and JSON, JavaScript, JQuery,
• Continuous integration (Jenkins/Hudson) and version control (SVN, Git).
• Converting UI and website designs (.psd, .xd, etc) into react components using Storybook.js and creating test cases with scripts; including documentation and automated visual testing
• React with WordPress Headless CMS using frameworks like Frontity.org
• org for authorization and access control models
• io microfrontend’s architecture framework for highly modular fully flexible applications
• Speech Recognition , voice interface , and other AI functionility
• React native mobile, Electron desktop application conversion
• Heroku Pipelines, Heroku: Browser and UAT, Heroku CI, DevOps tools and processes.

Technical Skills:

• Hands-on experience with JavaScript/TypeScript ( NodeJS & ExpressJS) in) Development on both client and server-side
• Proficiency in HTML, CSS and front end frameworks(Angular 7, AngularJS) 
• Having experience in building a responsive web design
• Experience with MongoDB and good knowledge in database concepts
• Experience with web frameworks like ExpressJS
• Developing secure Node.js end points using Passport, JWT, OAuth, and related technologies.
• Knowledge in Restful API Design
• Knowledge in unit testing tools like Karma, Jasmine etc..
• Experience with Version control systems like GIT and knowledge in GIT branching is necessary.
• Knowledge in continuous integration
• Strong object-oriented knowledge in any platform is a plus
• Proficiency and hands-on experience with one or more of the following: Backbone / KnockoutJS / EmberJS / ReactJS is a plus
• Knowledge in payment gateway integration is a plus

Responsibilities:

• Working with an Agile Scrum team using tools such as JIRA.

• Involving in writing functional specifications and technical documentation

• Working with the peer developers and writing good quality codes and release features

• Participation in internal code reviews

• Direct interaction with the client
  
  
  

Content writers day-to-day responsibilities include: 1. Content writing, curation, and development. 2. Content development for corporate Interactions and supplements. 3. Content management/development for Social media marketing and Brand Activation campaigns. 4. Contributing to captive blog. 5. Comprehensive research driven writing on an array of domains owing to the captive project. 6. Staying abreast of the recent technological advancement and curating fresh content

Member of the Engineering team focused on technical design and product development  Works closely with the product owners and technical leaders to help develop solution architecture, core system components and proof of concepts  Contributes to building and maintaining the solution frameworks (architecture & design) that support multiple implementations  Works autonomously to tackle complex technical issues and ongoing framework enhancements  Evaluates/research new tools & technologies to solve client business problems  Conducts design reviews and code reviews to ensure superior product quality  Maintains the technical design documentation and communicates architectural and design changes to development teams  Mentors and provides technical oversight to junior developers  Participates and actively contributes to technology roadmap discussions Skills Should have worked extensively on .NET 4.0+  Excellent Coding skills (should spend at least 60%-70% of their time in writing code)  Should be experienced in Object Oriented Design  Should be experienced on building web based applications  Should be experienced on building and working on Reusable Libraries  Should be able to work and understand new technologies and understand technological developments.