QA Tester

A small description about the Company.

It is an Account Engagement Platform which helps B2B organizations to achieve predictable revenue growth by putting the power of AI, big data, and machine learning behind every member of the revenue team.

Looking for PYTHON DEVELOPER.

“Get the sale” using various sales methods Forecast sales, develop “out of the box” sales strategies/models and evaluate their effectiveness Attend meeting, sales events and trainings to keep abreast of the latest developments Evaluate customers needs and build productive long lasting relationships Meet personal and team sales targets Research accounts and generate or follow through sales leads Report and provide feedback to management using finance Maintain and expand client database within your assigned territorial statistical data

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.

What is the role?

As Product Manager for Empuls you will be responsible for the product portfolio, including all product planning and release execution throughout the lifecycle of the product portfolio. This includes defining and prioritizing product roadmap, listening to customers, creating business requirements, driving functional requirement, driving this through development and successfully launching new product features.To read more about the kind of qualities we are looking for this role,

Key responsibilities

• Strategic planning and managing all stages of Product Life Cycle
• Develop business cases for each product feature to demonstrate feasibility including target pricing and margin, addressable and realizable market, SWOT analysis, estimated development, implementation, and support costs etc.
• Develop functional, technical and designs specifications for the product
• Help define the value proposition of the product for the sales team and help develop the sales tools that support the selling process of your products
• Research and understand competitive offerings in your sector

What are we looking for?

• An enthusiastic individual with 5+ years of experience in product management.
• We would prefer candidates from Fintech, ecommerce, rewards, loyalty and incentives.
• We'll look forward to technical skills required for a product role along with soft skills required to manage multiple stakeholder roles. Rest we can explore together during our interactions. If you find yourself to be someone that fits this requirement then read on.

Whom will you work with?

You will closely work with technology, design, sales and customer care teams. You will report to the head of product development.

What can you look for?

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the comprehensive benefits that Xoxoday offers.

We are

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls and Compass. Xoxoday works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners and consumers for better business results.

Way forward

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We assure you that we will attempt to maintain a reasonable timeframe for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.

Relevant work experience as a UI Developer. Proficient in JavaScript/Typescript and
ReactJS and/or React-Native and Redux.
Experience working with NextJS.
Deep understanding of RESTful technologies, microservices, and API integration
Strong understanding of HTML and CSS.
Systemic exposure to VCSl (GIT), Issue tracking (JIRA), Knowledge based
(Confluence)
Exposure to AWS and DevOps culture
Experience with Writing unit tests using JEST
Exposure to Axios, Lodash and other common front-end development tools such as
Babel, Webpack, NPM, etc.
Ability to continuously structure and organize the code base, anticipate
technical-debt, and do peer code reviews.
Good to have: Domain knowledge in the BFSI tech stack.

Job description About Fast Data Technologies Team : The Fast Data Technologies (FDT) group builds multiple cloud based and distributed platform services which are at the core of Amazon’s consumer and digital businesses. Fast Data is the next step in the evolution of Big Data. Acting on data as it arrives in near real time and helping business unlock value is where Fast Data steps in . FDT’s core NoSQL distributed storage platform processes more than 2.7 trillion transactions per day to serve various tier-1/mission-critical Amazon websites and internal Amazon systems. Thousands of services fueling the growth of Amazon businesses use FDT to store customer orders, catalog and product information, shopping cart, Kindle device information, and hundreds of other business critical data-sets. We invite you to explore this awesome, career defining opportunity to be a part of Amazon…… Your Responsibilities Will Include In addition to core storage, this group owns products like Tiered Storage, Secondary Indexing, Range Queries, Cloud Messenger, Sequence Generator and Data backfill. Towards this vision, we are seeking strong and highly motivated engineers to disrupt and build next generation of distributed cloud computing products and take it to the next level. Lead the design, and ultimately deploy successful services. Ensure the quality of design of systems. Defining new APIs that demonstrate full and complete understanding of service interdependencies and limitations. Possess knowledge and is curious to learn more about performance, scalability, enterprise system architecture, and engineering best practices. Creating prototypes and proof-of-concepts for iterative development. Work effectively with product development and engineering teams. Actively mentoring junior team members. Desired Skills and Experience B.Tech or M.Tech in Computer Science 4+ years of software industry experience Rich hands-on programming experience in Java/C++, using object-oriented design techniques and best practices Working with customers and business to transform business requirements into functioning software Experience in designing, building and maintaining real-time and large scale applications Strong understanding of system and application performance characteristics. Understanding of web services technologies such as SOAP and REST. Possess strong verbal and written communication skills In case your profile is short listed, you might be called for an in-person interview at our HYDERABAD office in the next few days. Hence, please send across your updated resume to [email protected] at the earliest.