Planning and Quantity Surveying Engineer

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.

Job Description-
Position – Sales Development Representative (India)

Reports to - Vertical Head
Primary Objective - Sales Development Representatives are responsible for qualifying leads at the initial stages in the sales funnel. They must research potential clients, connect with and educate prospects and qualify leads before handing them off to the closers of the sales team.

Specific Accountabilities/Responsibilities -
 Promoting and business through extensive and persistent cold calling, emails and
communication(s) to prospective clients
 Respond, engage and qualify inbound leads and inquiries
 Scheduling Initial Prospecting Meetings for the Sales Team
 Providing in depth information to the Sales team to enable the most qualified and
productive demos
 Researching and evaluating additional leads/prospects through web research
 Meet or exceed assigned quota
 Working together with the Regional Director to grow a specific sales territory
 Working with the Sales Director to support the acquisition of new accounts in the region
 Help as needed to build awareness on special projects / events
 Maintaining all contacts/opportunities and recording all progress

The ideal candidate will be familiar with the full software design life cycle. They should have experience in designing, coding, testing and consistently managing applications They should be comfortable coding in a number of languages and have an ability to test code in order to maintain high-quality code.

 

Responsibilities

• Design, code, test and manage various applications
• Collaborate with engineering team and product team to establish best products
• Follow outlined standards of quality related to code and systems
• Develop automated tests and conduct performance tuning

 

Qualifications

• Bachelor of Science in Information Technology
• 1+ years of experience working with .NET, Asp.net or relevant experiences
• Experience developing web-based applications in Asp.net, Dot net Core, jQuery, HTML5, Rest base API integration
• Understanding DB,PL/SQL, Webform
• Experience working in agile development environment

Key Requirements:

• Prior experience in content marketing, content growth, and SEO
• Working knowledge of search engine optimization practices
• Outstanding ability to think creatively, strategically, and identify and resolve problems
• Excellent verbal and written communication skill
• Ability to work within a team and independently
• Familiarization Google analytics
• Experience with website optimization tools
• Strong organizational, time management, and analytical skills

Responsibilities:

• Reviewing and analyzing client sites for areas that can be improved and optimized
• Preparing detailed strategy reports
• Identifying powerful keywords to drive the most valuable traffic
• Running PPC campaigns
• Writing powerful calls-to-action to convert visitors
• Filling websites and other content with effective keywords
• Writing effective SEO content for blogs, websites and social media accounts
• Developing link building strategies>
• Analyzing keywords and SEO techniques used by competitors
• Keeping updated on both white hat and black hat SEO strategies to avoid stay within search engine guidelines
• Compiling and presenting SEO guidelines

Descreption:

We are Hiring Website Experienced Team Lead/Process Trainer/ Account Manager Please Find the Criterias below , Whoever having Good experience in website sales process are Elible for Hire on Above profiles 

Location- Kolkata
Process- Website

Essential Criteria:-

We therefore welcome candidates who meet the below criteria:
·        Must have website Process Experience (International Outbound Voice)
·        Must have minimum 4 Years of International BPO exposure
·        Must be in same Role (Team Leader/ Supervisor /Accounts Manager) in Web Process
·        Excellent written and verbal communication
·        Good facilitation & Leadership skills
Salary: Best in Industry
 
NOTE : CANDIDATE MUST BE FROM KOLKATA ONLY. OUTSTATION CANDIDATES ARE NOT ELIGIBLE
 
For Queries: Please contact in between 11 to 6 pm only Monday- Friday
HR Priya 
Looking forward to hearing from you.

Best Regards
Priya Shaw
Lead Human Resource

We are looking to hire multiple Technical Product Manager at different levels for our team in Bangalore. If you are excited about building products that will be used by millions of consumers worldwide, building products for brands that you can be proud to show to your family and friends - you need to join us! This position reports to: Director of Product and Program.

 

What you will be doing:

 

Building product strategy with a strong technology mindset.

Work closely with business team in their pitch and proposals through user research and evaluating emerging technologies to foster innovation in shaping product ideas.

Lead Product Definition phase by driving user research, story mapping, technical feasibility study to generate solutions for client's problems/user needs.

Define, develop and execute product roadmap through till delivery by ruthlessly prioritizing the backlog.

Leverage analytics and user research to envision and propose product improvements.

Define, analyze, and communicate product metrics to guide new features and enhancements.

Serve as the Scrum Product Owner for development teams, including all responsibilities like roadmap definition, feature prioritization, story writing with detailed acceptance criteria.

 

What You Will NOT Be Doing:

 

Project and people management.

Owning and driving engineering decisions.

 

Requirements.

 

A highly talented and driven technical product owner with 8+ years of overall experience and 5 years actively as technical product manager/owner.

Solid technical background with understanding and/or hands-on experience in mobile development and web technologies (CMS, Angular React).

Has excellent analytical and communication skills with proven ability to influence and negotiate with clients and internal stakeholders.

Experience defining product strategy from scratch with implementation success in previous roles is a must.

Proven experience one or more of mobile/healthcare/fintech domains or startup space.

Technical background in building mobile/cloud/ML/AI/SaaS products and bring own point of view in proposing the solutions to client requirements.

Act as product evangelist with deep curiosity on technology trends and being able to go deep into technology and relate technical enhancements to build product vision.

Experience with cloud ecosystem or related technologies.

Groom and prioritize the work in the backlog according to business value.

 

Nice to Have

 

Extensive experience working in an Agile Scrum methodology.

Multi-tasker with ability to support at least 2 products in parallel.

Experience with Rally/Jira/Azure Devops or similar Agile Project Management tools.

Proficiency with at-least in one language Python, Swift, Kotlin etc.

Ability to use story splitting techniques to break larger stories and deliver in small increments.

Experience using workshop techniques to foster story mapping and ideation sessions.

Cool Environment Growth , Learning Challenging Environment