Telemarketing Executive

Responsibilities

 

Contribute to the preparation of policies to form a long-lasting digital association with consumers.

 

Supervise the current company incidence on social media marketing campaigns.

 

Active involvement in Search Engine Optimization (SEO) efforts.

 

Provide inventive designs for content marketing.

 

Coordinate with Social Media Marketing Manager in regards to the online adverts.

 

Stay updated with digital marketing trends and attend networking events.

 

Requirements

 

Bachelor’s degree in Marketing, Information Technology or relevant field.

 

Proven work experience as Digital Marketing Executive,

 

Exceptional knowledge of digital marketing ideas on SEO and SEM.

 

Working experience of ad aiding tools like DART, Atlas, etc.

 

Knowhow of web analytics tools.

 

Experience in creative content writing.

 

Ability to work in a team or individually as and when required.

 

Ability to manage and handle multiple tasks.

 

Outstanding problem-solving skills.

 

Exceptional attention to detail.

 

A critical thinker.

 

Good verbal and written communication skills.

 

Strong working experience with Google Analytics

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.

Big Data Engineer:-


-Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight.

-Experience in developing lambda functions with AWS Lambda.

-
Expertise with Spark/PySpark

– Candidate should be hands on with PySpark code and should be able to do transformations with Spark

-Should be able to code in Python and Scala.

-
Snowflake experience will be a plus

About

Company is a platform of digital first health clinics owned and operated under one house, with each of them working together toward one mission: To help Indians lead a more fulfilling life surrounded by wellness and grace.

The business is creating a family of purposeful health platforms with personalized solutions for a particular problem in a niche segment. Each platform provides the essentials to enable an individual segment of people to lead a graceful life full of purpose and well being. You can check out the digital health clinic for men at manmatters.com and the digital health clinic for women at bebodywise.com

Role

As the lead for the frontend development team at this , you will be the sole owner of the entire FE development cycle for our consumer-facing web products in ReactJS. Also, you will be responsible for shaping up the entire system for scale and collaborating intensively with the backend and design teams to create the best consumer experiences. You would also need to control the mobile app development lifecycle on ReactNative.

Responsibilities

• Overlook development of all user-facing products in React
• Build reusable components and front-end libraries for future use
• Translate designs and wireframes into high quality code
• Optimize components for maximum performance across a vast array of web-capable devices and browsers
• Focus on code maintainability and performance of application
• Provide technical advice and assists in solving programming problems
• Use Server Side Rendering when applicable
• Enhance SEO, Analytics and overall frontend architecture for better performance

 

Requirements

 

• 4+ years of experience building frontend for consumer facing products
• 2+ years on ReactJS for consumer facing products
• 1+ years of Team Lead/Management experience
• Thorough understanding of architecting the frontend system with Server Side Rendering
• Good foundation in design and a knack for designing interactions and elegant interfaces
• Understands app development cycle
• Experience with NodeJS for Server Side Rendering/coordinating with the backend team for API requirements
• Must come up with caching solutions where required to speed up the website load speed and improve customer experience

 

ROLES and RESPONSIBILITIES:
1. You will be responsible for accelerating the growth (Reach, Activation, Engagement, Retention and Revenue) through the use of metrics and game-changing marketing strategies and technologies.
2. You will be evaluating platform traffic, customer usage, and other data to better understand customer engagement and conversion rates.
3. Analyse large sets of user data to identify user cohorts that convert well and collaborate with the performance marketing team to acquire more of these users
4. You will specialize in creating content, developing new growth programs, testing, and executing these programs.
5. You will be experimenting aggressively with copy, visuals, messaging to each user segment and scaling what works.
6. Conduct primary user research to understand blockers in the product flow to conversion, as well as get feedback on messaging, value propositions and visuals.
7. You will manage communication across our community groups such as (FB, Instagram, Sharechat, Telegram and Twitter) which includes posting, replying to comments, and answering queries.
8. You will identify opportunities for and carve out ownership for unique content.
9. You will partner with Product and Content teams to define an appropriate narrative that will accompany Lamamia as it is presented to various audiences.
10. You will be collaborating with other teams (Marketing, Sales and Product) in order to develop user journeys to implement effective marketing campaigns.
11. Together with the teams, you will create new work processes and constantly utilize technology to enrich Lamamia’s relationships with the users.

REQUIRED MARKETING SKILLS and TOOLS:
1. Analytics Tools (Google Analytics, Mixpanel, Amplitude, CleverTap, etc.)
2. Marketing Tools (Branch, Moengage, Webengage, marketo, customer.io and Ad Managers of Facebook, Instagram, Sharechat, Youtube, Google, etc.)
3. Community Building & Management (Messaging, Texting, Posting, emailing, etc.)
4. Copy writing, Content Creation, User Research, A/B testing, Brand building, PR.
5. Collaboration, Partnership, Teaming up
6. Customer Obsession, Growth mindset, Learning attitude
7. Leadership Traits (Empathy, Self-motivated, Goal-oriented, Biased-To-Action, Taking ownership)

DESIRABLE EXPERIENCE and EXPOSURE:
1. Managing B2C go-to-market campaigns, preferably within an Ed-Tech company.
3. Demonstrated ability to analyze and distill data into actionable insights.
4. Excellent communication skills in order to interface with customers and collaborate in a cross-functional team environment.
5. Experience in market research and A/B testing.
6. Startup mentality where you’re ready to hustle in getting things done and take up different tasks when appropriate.
7. At least 1 year in a performance / growth / acquisition marketing role is a must. Previous experience in a product led company is a plus

Warehouse executive normal work picking, inventory management, stock picking, stock allocation as per the billing, stock checking and General work of all activities in warehouse

Looking for a Software developer with good experience in SQL Programming with expertise on SSIS (mandatory). Work location Bangalore