Telle Caller

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.

● Accounting knowledge for a minimum of 1 to 2 years.
● Basic day to day accounting
● Hands-on experience with accounting software tally software (Experience on Zoho software will
be add on)
● Handle monthly, quarterly and annual closings reports
● Reconcile accounts payable and receivable
● Compute taxes and prepare TDS & GST returns
● Comply with financial policies and regulations

Job Description- Implementation Specialist

 What is the role?

As an Implementation specialist, you will focus on understanding & implementing incentive structures of our clients from various industries such as insurance, banking, IT services, FMCG etc and on delivering a world-class customer experience. The person who joins the team in this position must share our passion and commitment to serving our customers. The candidate should have experience in forging and building brand relationships. A good understanding of sales data for analytics is a must. Key Responsibilities

• Digitize Customer’s incentive programs after understanding data and customer requirements.
• Understands client’s data structures & consults client on optimizing the data templates
• Setup the client’s account with the initial data, create necessary data relationships & setup incentive programs
• Train & handhold client in using the platform & effectively manage their incentive structures on the platform
• Should be able to build analytical models to convert data into future templates so others can use them. • Build relationships with the existing clientele.
• Partners with Product, Project Manager, and other business owners to define the business need for the project.
• Coordinate with internal and external stakeholders to meet customer requirements and expectations.
• Support and contribute to stakeholders with the information needed for publication and user training documentation.
• Ability to contribute to implementation/Onboarding process improvements
• Performs other additional duties as assigned. What are we looking for? 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.•

 BE/MBA from a reputable university.

• Strong working knowledge of excel along with data analysis & reporting is a must
• 1-3 years of data analysis & business analysis experience. Consulting experience is a plus
• Hands-on experience in onboarding SAAS products.
  • Excellent problem solving skills & analytical aptitude
• An exceptional soft skill, including the ability to talk with both technical and business concerns.
• Must be able to work independently
• Ability to work effectively in a team environment.
• Weekly/monthly/quarterly status reporting to the stakeholder
• Ability to easily pivot from one task to another, including managing multiple projects and timelines. Whom will you work with? The selected candidate will be working with the Head of Product/Program management and will also get a chance to work with the Leadership on important customer projects.

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 benefits of being at Compass.

We are We at Compass strive to make selling fun with our SaaS incentive gamification product. Compass is the SaaS commerce , gamification software that automates and digitizes Sales Contests and Commission Programs. With game-like elements, rewards, recognitions, and complete access to relevant information, Compass turbocharges an entire salesforce. Compass also empowers Sales Managers with easy-to-publish game templates, leaderboards, and analytics to help accelerate performances and sustain growth. We are a fun and high-energy team, with people from diverse backgrounds - united under the passion of getting things done.

Rest assured that you shall get complete autonomy in your tasks and ample opportunities to develop your strengths.

Way forward If you find this role exciting and want to join us in Bangalore, India, then apply by clicking below. Provide your details and upload your resume.

All received resumes will be screened, shortlisted candidates will be requested to join for a discussion and on mutual alignment and agreement, we will proceed with hiring.

We are Hiring For BI Developer.
Experience: 6-9 yrs
Location: NoidaJob Description:

• Must Have 3-4 Experience in SSIS, Mysql
• Good Experience in Tableau
• Experience in SQL Server.
• 1+ year of Experience in Tableau
• Knowledge of ETL Tool
• Knowledge of Dataware Housing

Job Description :

Roles and Responsibilities

 

• Coordinate sales team by managing schedules, filing important documents and communicating relevant information
• Ensure the adequacy of sales-related equipment or material
• Respond to complaints from customers and give after-sales support when requested
• Store and sort financial and non-financial data in electronic form and present reports
• Handle the processing of all orders with accuracy and timeliness
• Inform clients of unforeseen delays or problems
• Monitor the team’s progress, identify shortcomings and propose improvements
• Assist in the preparation and organizing of promotional material or events
• Ensure adherence to laws and policies
• Closes new business deals by coordinating requirements; developing and negotiating  
• Completing & growing monthly/quarterly sales against Targets 
• Following minimum call per day criteria defined by the company 
• Generating Sales MIS on the monthly basis
• leads generations through cold calling

Experience & Requirement

1. 1-3 years of experience in Sales / Closing of Leads.

2. Experience in Building Material Industry or Related industry.

3. Good networking among Interior Designers/ Architects/ HNI Home Developer clients.

4. Strong solution focus and ability to manage multiple priorities and deliverables.

5. Effective Communication Skills.

6. Good negotiation skills

7. Analytical and Problem Solving Skills

8. Freshers with good comm skills can also apply .

zillionsbuyer is among the fastest-growing E-Commerce destinations for electrical products in India. Our business growth is a

1-  Product uploading, Product Listing, Catalogue Management, Product Searching.

2- Candidate should have good knowledge of MS-Excel.

3- Candidate should have good typing speed.

4- Candidate should be proactive in approach

5- Basic knowledge of photo edit is required

testament to our work and efforts put in to provide reliable and affordable technology to our customer in just a few clicks. zillionsbuyer is known for its professionalism, integrity, transparency and our total commitment to timely deliveries.

1.The candidate should research on various interest based unique events happeing in the city, contact the organizers and make sure they list their event on our platform. 2. The candidate should keep an eye on hosts who have listed their spaces on home rental sites like Airbnb etc and pitch them the idea to list their common areas of the house on the upcoming section called 'Space Listing' on our platform. 3. The candidate should be willing to travel across the city to personally meet the hosts / organizers / property owners. 4. The candidate should be responsible to retain the account and give them timely service and assistance. 5. The candidate should be able to come up with innovative ideas for various activities that can happen on the website, grow the user base and attract more traffic.