Social Media Executive

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 need social media marketer who will promote our business on social media.

• Proficiency in Integration of various Azure resources (IaaS and PaaS - SQL DB , App Service , Application Insights , databricks , Storage accounts etc) to deliver an end to end automation.
• Thorough understanding of Continuous integration and continuous delivery using Azure DevOps/VSTS.
• Performing cost analysis of the Azure platform to identify where cost efficiencies could be had.
• Proficiency and thorough understanding of Azure RBAC model.
• Sound understanding of Azure Active directory and conditional access policies.
• Good grasp of Azure governance principles and hands-on experience in rolling out compliance and governance polices.
• Proficiency in developing infrastructure automation scripts in the form of ARM templates and Azure Power Shell scripts which can then be provided to application teams as consumables.
• Effective communication skills, both written and verbal for technical and non-technical audiences.
• Good working and hands on knowledge of Azure IaaS , Vnet , Subnets , Firewalls and NSG. Sound understanding of networking knowledge on DNA and Firewall security like Palo Alto.
• Experience working with Confluence, JIRA, Bitbucket, git, Jenkins, Sonar for collaboration and continuous integration.
• Experience with agile methods, along with having found their limitations and ways to overcome them.

 

 

 

We are looking for an energetic, inspired copywriter to be a vital part of the marketing team, reporting directly to the Founder. The ideal candidate will be responsible to develop the tone of voice for a brand and infusing a unique personality. You must possess exceptionally strong writing, fact-checking, proofing and time-management skills. Working closely with cross functional teams, the copywriter will revamp and elevate the vocabulary of the brand, delivering written content for all primary brand needs including (but not limited to) online and offline marketing copy, educational materials, new product campaigns, packaging, POS collaterals, mailers, fact sheets and internal presentations. You love a fast-paced, dynamic and collaborative environment. You'll use your experience and creative intuition to push our brand to new heights. Requirements: Do you have four (4+) years of copywriting experience with super writing and communication skills? Also, we are seeking someone who has the ability to work well in a team environment but also think and work independently; passion for trends in social and digital environment and the ability to channel the consumer. You are highly resourceful with excellent problem solving skills and sensitivity and cultural awareness, inspiration, empowerment and impactful; extremely organised and detailed with a strong sense of prioritising. Must be proficient in Microsoft Office.

Job Description
We are looking for an HR Intern (Part time/full time) for 6 months in HR Generalist profile (60% Recruitment and 40% HR Operations). You will be closaly work on Training & Development and Performance Management System Project.
If you’re interested in kick-starting your career in HR, we’d like to meet you.


Responsibilities
• Screen resumes and application forms.
• Schedule and confirm interviews with candidates
• Post, update and remove job ads from job boards, careers pages and social networks
• Update internal databases with new employee information.
• Leave and Attendance management.
• Prepare HR-related reports.
• Maintain training calendar.
• Address employee queries.
• Organize company events.
Requirements
• Familiarity with HRIS, resume database.
• Experience with MS Office
• Good understanding of full-cycle recruiting
• Human Resources Management or similar field.

Exp: 2-4 years on Social Media Marketing Channels 2 + years experience strategizing, planning & managing non-personal social media accounts on Twitter, Facebook, LinkedIn, Google Ad words and Instagram. Good sense to detected popularity content spread to among 18-28 years old internet users in India. Maintain and updated VIVA community content link to FB, Twitter, Instagram on daily basis. Family with Dubsmashmusical.lyand other music or video product loyalty fans is an advance. Excellent Content Writing skills one-liners, tweets, short blog posts or posts based on campaign objective. Adequate knowledge of digital media planning and buying especially on Facebook and Google. SEO Knowledge, - Creativity (Content writing, visual advertising). Perform all the tasks to make sure that our website is fully SEO optimized.- Provide SEO analysis and recommendations in coordination with elements and structure of websites and web pages.- Perform keyword research in coordination with our business objectives, uncover new keyword opportunities- Work on our Content Strategy. Experience in complete execution of campaigns on LinkedIn, Facebook, Google Ad words, Twitter and Instagram, - Excellent communication skills with a good fusion of Copy and Content writing.