customer support executive

Technical Requirement :

- Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes

- Familiarity with RESTful APIs to connect Android applications to back-end services

- Strong knowledge of Android UI design principles, patterns, and best practices

- Experience with offline storage, threading, and performance tuning

- Strong knowledge in SQLite Database

- Experience in designing and developing custom controls for Android.

- Solid foundation in data structures, algorithms, and object orientation design.

- Capabilities to write and execute unit test cases.

- Independent researching, solution finding, analysis and problem solving skills and capabilities.

- Should have a strong knowledge of OOPS and intermediate knowledge of front-end GUI design and development.

- Should have knowledge of Kotlin

- Should have experience in MVC / MVVM Architecture.

- Good in Analytics and Communication

• frames and using Agile methodology.
• Basic Azure server administration - Provide technical help during testing, development, and production.
• Discover, evaluate, and implement new technologies to maximize development efficiency - Design and implement complex, optimized algorithms with minimum time and space complexities

Requirements.

• Experience in .Net web development - Experience with C#, Angular Js, Angular2, SQL.

• Sound understanding of MVC design Pattern 

• Strong knowledge/understanding of OOPS concepts

• Experience with tools like Visual Studio, SQL Server, Git

• Good analytical and logical skills.

• Good written and verbal communication skills

• Passion for new technologies and innovations.

• Ability to grasp new concepts quickly.

• Takes initiative to uncover/develop solutions to potential problems

•  Ability to take on new projects and easily transition between tasks

• Team player who is receptive to coaching and adaptive to change

• Desire to excel and grow each day

• Strong knowledge of Web APIs, Typescript, ES6, ngrx

Nice to Have 

• Experience with of LESS, SASS, GULP and GRUNT. 

• Knowledge of VueJS

• .Net Framework and/or .Net Core
• Angular 2+, preferable Angular 10
• Experience with tools like Visual Studio, SQL Server, Git
• Material framework
• SASS
• Good technical aptitude
• Restful APIs
• Data structures and Algorithms
• Azure experience including Azure functions etc.
• Azure Devops

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.

1.       Strong knowledge in Front end scripting like EJS, JavaScript, Jquery

 

2.       Proficiency with fundamental front-end languages such as HTML, CSS.

 

3.       Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.

 

4.       Proficiency with server-side languages such as Python / Ruby / Java / PHP/ .Net

 

5.       Good Understand with database technology such as MySQL, Oracle, and MongoDB.

• Back-end development using Python/Django
• Front-end development using CSS, HTML and JS
• Write reusable, testable, and efficient code
• Implement security and data protection
• Use Amazon Relational Database Service
• Commit, push, pull and sync to Bitbucket, GitLab
• Deployment of code on MS Azure and AWS
• Build efficient scripts and cron jobs in GCP
• Connect apps and automate workflows using Integromat

Are you looking to be part of a dynamic and growing organization? At Mobiloitte, we build the technology that integrates technology. Mobiloitte is looking for a motivated and experienced Lead Developer for our iOS team. As a lead thinker on the iOS team, your passion for mobile and visual design will change the way millions of people collaborate. Roles & Responsibilities. Coordinate between multiple cross-functional teams (Design, Backend and Front-end) both internally and with client teams to understand requirements and develop technical documents. Oversee and participate in day-to-day activity and projects in their team, resolving or escalating roadblocks or other issues in a timely manner. Act as Scrum Master overseeing daily standups, sprint planning, demos, retrospectives, etc. End to end management of client engagements - detailed project plans, scope and budget definition, resource allocation, project/ apps delivery, maintenance. You will be responsible for the daily maintenance and delivery of mobile applications. Develop iOS projects for iPhone and iPad using Swift /Objective-C Programming Language. Participate and lead team meetings and lead code reviews. You will be responsible for successful and timely delivery of high quality apps to the App Store marketplace. Responsible for ensuring quality delivery of code through static and dynamic testing techniques. Responsible for development of reusable application frameworks and components. Takes full responsibility for multiple applications from inception to release. Desired Candidate Profile: Strong experience in iOS application programming (Focus on Swift, Objective-C,Cocoa, xCode) and preferably some experience in Android application programming (Java, Android SDK). 1+ years experience performing people or project management for a team. Experience in metrics collection and reporting experience, and a borderline-unhealthy obsession w/ metrics. Experience with Core Data, iTunes Connect and/or TestFlight Experience with third-party frameworks such as Ionic, NativeScript, Cordova, and ReactJS. Familiarity with RESTful APIs to connect iOS applications to back-end services. Understanding of PCI, PII and mobile application security. Can architect and integrate apps with backend and 3rd party API’s. In depth understanding of Adaptive layouts - iOS storyboards, auto layout, Size classes Experience releasing an iOS app and Android app to the App Store. Experience in continuous integration and unit testing frameworks. Excellent written and verbal communication skills .

Technical Skills : Strong development experience in Ruby/Ruby and Rails, Jruby Strong experience of database (PostgresQL). Strong experience in HTML, CSS, JavaScript, Jquery, Angular JS Hands on Experience on tools like Github, Rails . Strong Understanding of Agile Application Architechture, Web services, Responsive Design, JSON, AJAX Should be able to work independently Ability to adapt and pick up new techniques and technology Should have good communication skills.