Web Analyst

4+ Years of experience in Java/J2EE applications.

- Excellent programming in Core Java, Multi-threading.

- Java technologies: Core Java, Java EE/J2EE, JPA/Hibernate, Spring

- Should have good understanding on design patterns.

- Should have minimum 1 yr exp in spring boot / Microservices / Amazon Web Services.

- Should have experience developing RESTful services along with Spring and Hibernate

- Good exposure & experience in Product development.

- Ability to collaborate with Architects on development and design.

- Up to date with technology trends and be able to set direction for other developers.

- Ability to evaluate and build POCs, make recommendations around Java, DevOPs, Mobility and Cloud related technologies.

Technical Skills :

- Microservices, Spring Boot, HIbernate, REST

- Redis, MongoDB, MySQL

- DevOps - CI/CD, Ansible/Docker/Kubernetes.

- Cloud - AWS/Google

Skillset

Angular, React/Redux (or Similar Technology)

Node.js

RESTfull API integration

Experience working with Docker and containerized applications

Experience working with Kubernetes or other container orchestration tools

Knowledge and understanding of working in AWS environments

Experience in full-stack development (with a passion)

RDBMS and Document Database

Experience with Agile/Scrum Development Methodology

Exposure to Continues Integration (CI/ CD) Devops, AWS

Version control systems like Git/ TFS

• 4+ years of software development experience
• Essential skills: PHP, MySQL, HTML, CSS, JavaScript, AJAX
• Code Ignitor and Laravel development experience a big plus
• Advanced knowledge of SQL is important
• Should be able to analyze requirement and design robust system
• Good oral and written communication skills
• Ability to work in a team-oriented and collaborative environment
• BS/MS degree in Computer Science, Engineering or a related subject

 

We are a digital hotel company.India's most loved hotel chain in the premium-budget segment. We have used technology to drive quality control at scale in the economy segment of hotel industry, which was so far unorganised and fragmented. We offer travellers a safe, clean, comfortable accommodation at affordable prices. We are rated 7.8/10 by customers, miles ahead of other players. We have 600+ hotels across 100+ cities under our brand. 

Responsibilities:
● Take end to end ownership of all products right from conceptualization till production.
● Develop cross-platform user-facing features using React JS.
● Drive major frontend architecture decisions along with Product Managers and
Engineering Head.
● Building reusable components and front-end libraries for future use.
● Translating designs and wireframes into high-quality code.
● Optimizing components for maximum performance across a vast array of
web-capable devices and browsers

Requirements:
● 6+ years of relevant experience in core frontend technologies (JS, React,
Redux,GraphQL)
● You're an engineer by heart and not just a developer.
● You're innovative and able to pitch ideas to your colleagues.
● You're able to work with Product Managers, Designers and call out things upfront
from an engineering perspective.

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.

We are seeking a Senior Software Engineer / Senior Game Developer for feature development and engineering initiatives for a reputable studio based in the United States.
The game that is being worked on has tens of millions of daily active users, and the work will entail creating new game modes, new UI screens, and new features.
The ideal candidate would know how to use multiple game frameworks and be comfortable learning new ones.
All current game development is using a language called Monkey X, which is a cross-platform reimagining of the BASIC programming language (with object-oriented programming support).
The team is currently split between California, Texas, and Germany. The candidate would need to overlap mostly with European time zones but sometimes be available for calls with the West Coast.

Time zone/Location: remote, mostly overlap with CET time zone

Responsibilities

o Learn or know Monkey X and integrate your existing game development knowledge into
the codebase.
o Help mentor and direct other developers on the team
o Become the right hand of the lead developer and offer assistance as needed

Requirements

o Unity, Cocos2d, Flixel, Arcade, Pygame, Phaser, or other game framework experience.
o The ability and comfort to learn new languages and frameworks quickly
o At least one shipped game, portfolios of games welcome
o C#, Java, VB.NET, Objective C, C++, or other object-oriented programming language and OOP experience required.
o Knowledge of Design Patterns

Content creator:  

Duties/ Responsibilities

• Performing exhaustive research to gain in-depth knowledge of all customer personas
• Creating specifications and content appropriate for the brand's customer personas
• Planning the editorial calendar and content proposition
• Developing content governance guidelines for tone, style, and voice of all content, and ensuring they are followed
• This role is 50/50 conceptualizing and executing. You must be able to not only ideate and pitch your own create concepts to your peers and management, but also work with a team to execute others’ ideas when needed.
  
  Collaborate as part of a small, agile video team producing original video content for digital platforms from script to shoot to edit and delivery.
  
  Create content for social channels, with a clear understanding of how users engage with social creative across formats and platforms.
  
  Develop best practices and expertise around creating, publishing and distributing videos specific to various digital platforms, and train teammates in those best practices.
  
  Qualifications / Skills :
  
  5+ years of experience in a creative agency, production company, or in-house at a brand pitching and editing video content for social and digital channels.
  
  Should have a proven track record of creating content for a company/ Individual.
  
  Detail-oriented, fast learner, and able to manage your own time.
  
  Can effectively cope with change, shift gears comfortably, decide and act without having the total picture. Cut your own way through ambiguity and engaging management smartly when needed.

Benefits:

• This is a full time position, working from office. Office Address: Lexicon International School, Kalyani nagar, Pune.
• Transportation reimbursement is available.
• Medical Insurance available.
• Leadership & Development training for all manager-level employees
• Salary will be as per the skills and the experience of the applicant.

·         Design content marketing strategies and set short-term goals.

·         Plan, handle and execute various digital channel ads and PPC campaigns for company websites

·         Handle team of executives to lead SEO, content, and design requirements of marketing campaigns

·         Handle both online and offline marketing: hands-on experience with digital media, including SEO , PPC, social media marketing, email, and affiliate channels.

·         Lead and manage whole lead generation initiative for B2B services campaign in international markets like USA, UK, Australia and Europe.

·         Use and manage different tools required to manage, control and report progress of marketing initiatives and campaigns

·         Conceptualize, design and execute various marketing campaigns from time to time to generate high quality qualifies leads for company

·         Accomplished at leveraging full value from marketing automation processes and tools.

·         4+ years of hands-on marketing experience in a B2B role.

·         Excellent understanding of B2B services marketing.

·         Knowledge of Demand Generation tactics and Lead Conversion principles.

·         Ability to create value propositions that communicate clearly to targeted audiences.

• Extensive experience in creating audience segments and developing marketing campaigns that deliver a targeted message and create affinity with brands.

·         Demonstrated ability to manage the budgeting process and use of analytical skills.

·         Proven track record in delivering marketing campaigns that drive sales growth.

·         An understanding of agile marketing, to identify and focus on high-value projects and then continuously and incrementally improve the results over time.

·         Excellent English written and verbal communication skills.

·         B2B Services Marketing

·         Marketing Campaigns

·         Demand Generation

·         Lead Conversion

·         Content Creation

·         Sales process understanding

·         SEO

·         PPC