Requires District Sales manager | Jharsuguda

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.

Good understanding of data structures, algorithms, and the first principles of mathematics.
● Proficient in Python and using packages like NLTK, Numpy, Pandas
● Should have worked on deep learning frameworks (like Tensorflow, Keras, PyTorch, etc)
● Hands-on experience in Natural Language Processing, Sequence, and RNN Based models
● Mathematical intuition of ML and DL algorithms
● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical
analyses
● Should be comfortable in going through open-source code and reading research papers.

Skills

• Have published at least one original React JS Application.
• Experience with third-party libraries and APIs
• Knowledge of REACT tools including React.js, Webpack, Enzyme, Redux, and Flux.

Roles 

Should be able to single-handedly build performant mobile apps on the React JS platform. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

Responsibilities 

• Build pixel-perfect, buttery smooth UIs across web platforms.
• Leverage APIs for deep integrations with web platforms.
• Diagnose and fix bugs and performance bottlenecks for performance that feels native.
• Writing application interface codes using JavaScript following react.js workflows.
• Maintain code and write automated tests to ensure the product is of the highest quality.
• Developing and implementing front-end architecture to support user interface concepts.
• Monitoring and improving front-end performance.

Job Description:

 

To ensure correct accounting of revenue. Manage end to end order to cash accounting
including but not limited to billing and accounting treatment of revenues, customer
master data, collections accounting, bad debt provisioning, debtor ageing.
 Reconciliation of collections with the revenue master data and identifying exceptions
therein for the resolutions after discussions with ops teams;
 Strong reconciliation abilities and extraction of data from various files for finalization of
revenue;
 Posting sales entries in the Accounting system to ensure all are captured and
appropriately recognized for reporting;
 Perform periodical Balance sheet reconciliation of control accounts, bank accounts and
all asset /debtor accounts;
 Liaison with other Finance team members to ensure the integrity of accounts;
 Ensure all collected payments are presented for posting within collection deadlines;
 Debtors ageing and follow ups with the clients for timely collections;
 Keeping a track of cash inflow and revenue projections.
 Ensure closure of operational/month-end activities including data inputs for the MIS
preparation within strict timeframes;
 Liasioning with the banks for the cash management and reconciliations on timely basis;
 Accounting of all the bank transactions on a daily basis for reconciliation of accounts and
investments made by the company.

 

 

 

Education:

• Semi-Qualified CA/ MBA/ M.Com with atleast 3-4 years of experience (excluding training period) working in receivables department of a company (e-commerce company preferably); B.Com with 5-7 year experience.
• Proficient in Tally accounting and cost centre accounting;
• Must be strong in MS Office (Including MS Word, Excel with advanced skills);
• Quick learner and ability to deliver on time.

• Work on creating high-quality content for the company’s clients as well as inhouse brands, in various formats
• Spot story ideas within the company, conduct interviews, and write stories and blogs based on them
• Learn how to use various inbound and account-based marketing methodologies to deliver marketing goals 
• Work with marketing tools and technologies to ensure that content is created and amplified to generate the goals decided upon
• Work with marketing heads and CEOs and be part of the strategizing and ideation
• Work on B2B content marketing strategies for companies
• Be accountable for the results your content is generating

Here’s what we are looking for:

• Good understanding of business and marketing
• Flair for business writing and a sharp eye for editing
• B2B writing experience of 1+ years
• Exceptional written and spoken English
• Self-driven, responsible, team player, sincere, results-oriented
• Should be good in communication

 

Hiring for Sitecore Developer for Global MNC Client

Experience in Sitecore Devlopment 9+ version
Hands on experience in .Net

Full Time permananet position with client

 Strong Data structure, Algorithm and Problem solving skills.  Experience in seeing through a complete software life cycle and showing ownership on building components in them  Hands on experience in any of the technologies like .Net, C#, ASP.Net, Nodejs, Ember.js, Python,PostgreSQL, Reactjs or open source. etc  Good Problem Solving skills to be able to work independently without guidance  Knowledge in design patterns

REQUIREMENTS: Programming languages: Embedded C Language Hands on experience in design and development on modern 32 bit microcontrollers (ARM Cortex M0+, M4, M7 etc) and usage of IDE, toolchain, debuggers. Should have worked on the Linux Skills: Exposure to any Scripting ( shell scripting (sh, bash etc.), LUA) Worked on programming and interfacing peripherals like timers, UART, CAN, ADC, DAC, IO, sensors and actuators. Memory Interfacing Techniques. Very Good if work on DALI, C-Bus like Lighting control protocols Experienced on communication protocols like Modbus, TCP/IP, USB & Serial interfaces. Good understanding of the Design principles, Unit testing methods, hands on with GIT repository. Exposure to Web technologies. Understanding with HTML, Javascripts and Webservers is plus Nice to have: Exposure to embedded software development for Home Automation products like Dimmers , sensors and lighting application.