Customer Support Executive (Voice and Chat Process )

Must have :

• 4+ years exp with solid backend/engineering experience.
• Knowledge of data structures and an eye for architecture.
• Solid CS fundamentals, fluent in multi-threaded and asynchronous programming, a strong inclination for architecting at scale.
• Excellent technical design, problem-solving, debugging, and communication skills.
• Rapid prototyping worked on distributed systems at scale.
• Basic knowledge of SQL as well as NoSQL databases.
• Proficient in Golang, it's design, and concurrency patterns.

• Should have excellent knowledge of Swift and Objective C
• Good working knowledge in Cocoa Touch
• Experience with performance and memory tuning with tools
• Experience with memory management & caching mechanisms specific to mobile devices
• Experience with third-party libraries and APIs
• Experience working with Core Data, Realm
• Understanding of the full mobile development life cycle
• Experience in publishing apps to the App Store.
• Code version tool – Git, Bitbucket
• Design Pattern - MVC and MVVM, MVP
• Must be able to provide individual or project oversight on rapid prototyping/POC 
• efforts and large scale enterprise wide roll out planning.
• Must be familiar with software development methodologies like Agile, Waterfall, Iterative etc.
• Must have strong analytical skills and should be able to define and build competency assets – estimators, tools, reusable assets, scripts, etc.
• Must have strong communication and customer interfacing skills with particular emphasis on Scope and Requirements Management

Experience in IoT domain will be a big plus

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.

 

Desired Candidate Profile

What you need to have:

• Good Command on English
• CEFR C1 proficiency or GETS Scale of English Level 7
• Bike/ Car
• Ability to be flexible and creative in developing the business
• Sr. Executive – 2+ years in field sales
• Executive – Fresher or experienced in sales but not more than 2 year

 

About Goodera

Goodera is an employee volunteering, CSR, and ESG management company that enables corporations, foundations, governments, non-profits, and employees across 90+ countries. Goodera empowers companies to provide engaging and impactful virtu l volunteering experiences to their employees globally and achieve
volunteering goals.

Through curated volunteering opportunities, end-to-end program management, and impact measurement, Goodera offers a seamless volunteering experience. Goodera enables non-profits to create a sustainable impact by raising money, increasing visibility, and building long-term volunteers for causes they support. Goodera is coheadquartered in San Mateo, CA, and Bangalore, India. For more details, please visit http://www.goodera.com." target="_blank">www.goodera.com.

Responsibilities:

• Develop a deep understanding of the start-up ecosystem.
• Build customer facing technology product for global customers.
• Own the Product's frontend and backend development, building reusable, testable, and scalable code.
• Research, evaluate, analyze and implement technical requirements.
• Collaborate with product management teams to define and implement innovative solutions for the
product direction, visuals and experience.
• Mentor Junior members of the team

Requirement:
• 3+ years of experience building scalable products, distributed applications product/services.
• Min 1+ years of experience working on Node.js and its frameworks.
• Min 1+ years of experience working on any JavaScript based frontend frameworks.
• Knowledge of database services and related tools with the expertise to create efficient schemas.
• Understanding of developing responsive UI with experience in working on CSS/any CSSs based framework.
• Excellent coding and problem-solving skills and ability to produce high quality, bug free and testable
production grade code.
• Ability to own end-to-end deliveries, right from requirements till release.
• Experience working in an Agile/Scrum development process.
• Ability to mentor junior members of the team.
• Ability to review code and continuously push for higher standards of development.

What we have to Offer:
• Experience building a transformative product.
• Work with a performance-oriented team driven by ownership, open to experiments and passionate about
creating impact through tech.
• Learn to design system for high accuracy, efficiency and scalability.
• End-to-end ownerships of your task

Essential Skills
► Experience with C++ Windows and Linux operating system is mandatory.
► Sound knowledge of STLs, multithreading.
► Good understanding of OOP, design patterns and their application.
► Know-how on writing applications using the STL and/or BOOST.
► Knowledge of Agile development methodologies (e.g., XP, Scrum) and agile
engineering practices (e.g.TDD).
► Knowledge of Scripting languages such as shell / bash scripts are desired.
► Good knowledge of SVN or any Source control.
► Experienced with unit test frameworks.
► Computer Science (or related) degree.
Desired Skills
► Understanding of capturing functional requirements through use cases, user
stories and personas.
► Experience with test-driven development and test-driven design.
► Willingness to travel to Germany on a Short/Long term basis.

Description :- We are looking for a PHP developer responsible for building Web applications. This includes anything between complex groups of back-end services and their client-end (desktop and mobile) counterparts. - Your primary responsibility will be to design and develop these applications, and to coordinate with the rest of the team working on different layers of the infrastructure. - Thus, a commitment to collaborative problem solving, sophisticated design, and product quality is essential.Skills Required :- Proven software development experience in PHP& MySQL.- Strong skills in Laravel, CodeIgniter or CakePHP framework.- Good Knowledge of creating database schemas & Stored Procedure that represent and support business processes.- Knowledge of AngularJS and NodeJS would be preferable.- Experience in common third-party APIs (Google, Facebook etc.)- Demonstrable knowledge of web technologies including HTML, CSS, JavaScript, AJAX etc- Passion for best design and coding practices and a desire to develop new bold ideas Demonstrable.- Understanding fundamental design principles behind a scalable application.- Strong understanding of object-oriented programming.- Familiarity with current design and architectural patterns.- Knack for writing clean, readable, and easily maintainable code.

Required: 4+ experience in Ruby on rails Good Experience with Backbone.JS or Node.JS is an added advantage. Proficient with Javascript and have some experience building AJAX applications using frameworks like jQuery Talented and motivated individuals with good programming and problem solving skills Good understanding of HTML, CSS. Excellent verbal and written communication skills.