"UI Path developer"

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 looking for highly skilled candidates with experience in frontend programming and are comfortable in dealing with backend tools.

• Reviewing application requirements and interface designs.
• Identifying web-based user interactions.
• Developing and implementing highly-responsive user interface components using React concepts.
• Writing application interface codes using JavaScript following ReactJS workflows.
• Troubleshooting interface software and debugging application codes.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.

• 6 to 9 years of strong design and development experience in building massively large-scale distributed internet systems and products.
• Previous experience working as a React.js Developer.
• In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
• Strong experience using a client side MVC framework such as NodeJS, ReactJS, or Redux.
• Experience with user interface design.
• Knowledge of performance testing frameworks including Mocha and Jest.
• Experience with browser-based debugging and performance testing software.
• Experience in responsive design, cross browser compatibility, and website performance.
• Knowledge of frontend CSS frameworks like Bootstrap, Material UI, and preprocessors like SASS and LESS.
• Experience with handling Services, RESTful, APIs (NodeJS preferably).

You will be working with top-quality engineers who have built one of the best employee engagement SaaS platforms. You will be reporting to the Engineering Head and working closely with the Architect and other leads.

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.

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. 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.

• Develop, maintain and support company
• Assist in technical specification and solution design documentation to address customer needs
• Ensure customer implementations are delivered to meet/exceed customer expectations
• Collaborate with cross-functional teams on project delivery, solution development, and deployment as needed

Requirements:

• 2+ years experience in a software development/consulting role, preferably in comprehensive eBusiness and Supply Chain Solutions
• 2+ years experience in Software Analysis, Design, and Development using J2EE technology stacks (Core Java, JSP, XML, Hibernate & Java scripts) and Oracle database (PL/SQL)
• 2+ years experience with the configuration and Installation of J2EE servers like Web logic, Web Sphere, and Oracle
• 2+ years experience with integration technology (knowledge of EAI and B2B tools)
• 2+ years working knowledge of UNIX system (Solaris and Linux)
• Exceptional verbal and written communications skills
• Excellent interpersonal & planning skills and cross-group coordination at all levels
• Bachelor Degree in Computer Science, or equivalent
• Willing to travel when needed.

Preferred (Optional) Skills:

• Supply-chain domain experience implementing and integrating Global Trade Management solutions
• Experience in the integration, deployment or support of an ERP, SCM, or similar systems from SA

We are hiring, young, enthusiastic, dynamic, smart and experienced individual to be a part of our expanding marketing chain of Casey Food division. If you have : - A Bachelor's degree, with sales as your core dream.- Proven Sales Experience.- Fantastic track record of meeting sales target.- A passion towards multitasking and team building.- Ability to work under pressure.- Strong problem-solving, organizational and management skills.- Excellent negotiation, convincing and consultative sales expertise.- Effective communication skills.- Exceptional customer orientation knowledge.Then you are the one to whom we are searching for. Being the Sales head of a district, you will dispose the following job responsibilities:- Manage sales operations in assigned district to achieve revenue goals.- Supervise sales team members; the BSMs, on daily basis and provide guidance whenever needed.- Identify skill gaps and conduct trainings to sales team.- Work with team to implement new sales techniques to obtain profits.- Assist in employee recruitment, promotion, retention and termination activities.- Conduct employee performance evaluation and provide feedback for improvements.- Contact potential customers and identify new business opportunities.- Stay abreast with customer needs, market trends and competitors.- Maintain clear and complete sales reports for management review.- Build strong relationships with customers for business growth.- Analyze sales performances and recommend improvements.- Ensure that sales team follows company policies and procedures at all times.- Develop promotional programs to increase sales and revenue.- Plan and coordinate sales activities for assigned projects.- Provide outstanding services and ensure customer satisfaction.We are looking the following skill sets within a prospective candidate : - Strong verbal and written communication skills.- A versatile personality with above average organizational and planning skills.- A person with critical thinking and problem solving ability.- A good team player with creation and handling of team.- A customer centric person with customer centric business agenda.- An exemplar having capacity to analyze marketing trends, and promoting product, service and promotional activities.- A person who can develop transparent marketing strategies to expand brand recognition.Experience : - 3 - 8 years in FMCGCTC : 20,000 fixed as regular salary, and 5, 000 as TA. Total = 25,000.

Will be doing International calling. Easy process. Medical KYC Process. Night Shifts. Free Food Free Cab within range. FIXED SATURDAY AND SUNDAY WEEK OFF and the Fixed shift is also available. We are looking for immediate joining.

We need Android app developer who has a 1-2 year expereince.

• Translate designs and wireframes into high quality code
• Design, build, and maintain high performance, reusable, and reliable Java code
• Ensure the best possible performance, quality, and responsiveness of the application
• Identify and correct bottlenecks and fix bugs
• Help maintain code quality, organization, and automatization

* Proficient in Object Oriented PHP, MVC, Javascript, jQuery, KnockoutJS, UnderscoreJS,SQL, HTML and CSS * Extensive experience in developing Magento extensions and themes * Deep understanding of the Magento architecture and data flow * Thorough understanding of Magento concepts of Layouts, Blocks, Models, Controllers,Helpers, Observers etc * Understands the ORM concepts and database structure of Magento * Knows how to extend Magento functionalities including REST APIs * Understands the performance bottlenecks of Magento and ability to write optimized code * Knowledge in Magento 2 is an added advantage * Knowledge in Linux environments * Good knowledge in GIT concepts and operations * Knows how to consume 3rd party RESTful services * Magento Developer Certification is an added advantage