Web Designer

Job Responsibilities

1. Develop backend for applications in ecommerce/insurance/wealth management businesses

2. Design technically sound systems and deliver results in a fast manner

3. Building highly performant applications setting top standards in respective industries

Basic qualifications :

1. 5-7 years experience building highly performant applications in Python

2. Expertise in Python frameworks like Django

3. Familiarity with Rest of API

4. Good team handling Experience

5. Good grasp on data structures and proficiency in problem-solving

6. Knowledge of design patterns

Anyone interested send me the resume.

The candidate for this position will excel at creating and closing new opportunities. By using a consultative approach to selling, this person will use their expertise to identify and qualify leads, leading to sales opportunities with both new and existing customers.

Responsibilities

• Successfully create business from new and existing customer accounts
• Manage complex negotiations with senior-level executives
• Build rapport and establish long term relationships with customers
• Introduce new designing techniques

Qualifications

• Knowledge in designing software and tools
• Experience and working knowledge of CRM systems
• Demonstrable track record of over-achieving quota
• Strong written and verbal communication skills

About us

An analytics, software development and product focused company with a focus to create value for the various sectors of the Society. We try to use technology as a innovation for various problems people face and hence resulting in the upliftment of the people.

What we are looking

We are searching for an organized, ambitious .NET developer to generate software using .NET's infrastructure. The .NET developer's duties include sourcing project requirements, deciding on the most appropriate software solutions, and ensuring that developments are error-free. You should also ensure that the final products are well-presented and engaging.

Main characteristics of who we’re looking to hire in our company:  Ability to complete projects, follow through, respect deadlines and come up with creative solutions.  Willingness to learn and advance in his/her career and become a useful member of our team. Communicative, people person, team player, intelligent, curious and hard-workin.

 

Principal Responsibilities: 

• Develop dynamic SPAs (single page applications).
• Test and deploy applications and systems.
• Hands on and implements complex AngularJS applications, directives, controllers, services.
• Deep functional knowledge or with Web Services (REST, SOAP, etc) is needed to be successful in this position.
• Ensure software meets all requirements of quality, security, modifiability, extensibility etc

Education Requirements:

• Graduated or pursuing BSc/BA in Computer Science, Engineering or a related field.

Training, Skills, Knowledge & Experience

• 3-5 years work experience as a developer.
• Development experience using Microsoft Asp.NET C#.
• Core web fundamentals: HTML5, CSS and JavaScript.
• Working knowledge of databases and database structure.
• Working experience on ASP.NET Web API.
• Working experience with source control Git.
• Solid understanding of Responsive Web Design and framework.
• Excellent troubleshooting and communication skills.
• Familiar with scrum methodology

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.

 

Desired Candidate Profile

What you need to have:

• Qualification -B.E/ B.Tech and/or MBA
• Experience of 5-9 years in related industry/ product categories
• Keen interest/ knowledge of sourcing and procurement techniques as well as a dexterity in reading the market
• Exposure in developing and working with factories in China is essential
• Talent in negotiations and networking
• Aptitude in decision-making and working with numbers
• Strong verbal and written communication skills
• Demonstrated ability to analyze and resolve problems

 

The Sales Lead Generation Specialist is responsible for prospecting, qualifying and generating new sales leads to support the Enterprise Account Managers. This individual will be a highly motivated, self-starter able to identify and develop new business prospects from multiple sources including inbound marketing leads, prospect lists, discovery and individual research. A dynamic personality with a drive to reach decision makers is essential! The Sales Lead Generation Specialist is expected to • Develop new business via telephone and mass communication such as email and social media to introduce Vaisansar solutions and identify appropriate buyers within the target market. • Follow up on leads and conduct research to identify potential prospects. • Conduct a needs analysis and determine prospects pain points to determine how Vaisansar’s white label solutions will speak to those needs. • Build and cultivate prospect relationships by initiating communications and conducting follow-up communications in order to move opportunities through the sales funnel. • Work with the VP/Director of Sales to develop and grow the sales pipeline to consistently meet quarterly revenue goals. • Manage data for new and prospective clients within CRM, ensuring all communications are logged, information is accurate and documents are attached. • Prepare and analyze sales pipeline reports and dashboards. Required experience and knowledge • Diploma, Bachelor’s Degree preferred • 1-3 years telemarketing and/or inside sales experience. • Demonstrated ability to meet and/or exceed determined sales and activity quotas. • A proven track record of strong client relationships. • Excellent client service skills. • Excellent written and verbal communication skills. Technical Experience • Proficient in MS Office products (Excel, Word, MS Outlook, MS PowerPoint) • Experience with MS Dynamics or another CRM Software preferred.